Contents

• A uniform X-ray analysis of 79 distant galaxy clusters with ROSAT and ASCA
• 1 Introduction
• 2 The sample
• 3 Spatial analysis
• 4 Spectral analysis
• 5 Cluster parameters
• 6 Correlations between cluster parameters
• 7 Summary
• References
• 8 Online Material
• Appendix A: Mass profile of double- $\protect{\beta}$ clusters
• Appendix B: Systematic error of gas-mass fraction
• Appendix C: Individual clusters

A&A 428, 757-779 (2004)
DOI: 10.1051/0004-6361:20041087

A uniform X-ray analysis of 79 distant galaxy clusters with ROSAT and ASCA

N. Ota ^1,2, - K. Mitsuda²

1 - Department of Physics, Tokyo Metropolitan University, 1-1 Minami-osawa, Hachioji, Tokyo 192-0397, Japan
2 - Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, 3-1-1 Yoshinodai, Sagamihara, Kanagawa 229-8510, Japan

Received 14 April 2004 / Accepted 22 July 2004

Abstract
We present a uniform analysis of the ROSAT HRI and the ASCA GIS/SIS data for 79 distant clusters of galaxies in the redshift range 0.1 < z < 0.82 to study the global structures of the intracluster medium. We have constructed an X-ray catalog consisting of the largest sample of clusters in the redshift range for which pointed X-ray observations were carried out with both the observatories. We determined the emission-weighted X-ray temperatures of the clusters with ASCA, while we studied surface brightness distribution with the ROSAT HRI utilizing the isothermal $\beta$ model. We investigated the statistical properties and trends for redshift evolution of the X-ray parameters including the temperature, the density profile of the intracluster gas and the gas-mass fraction within r₅₀₀. We also present correlations of the cluster parameters with the X-ray temperature and with the core radius and compare them with the predictions of the self-similar model, from which we discuss the possible origin of the double structure discovered in the core radius distribution.

Key words: galaxies: clusters: general - galaxies: intergalactic medium - X-rays: galaxies - cosmology: observations - cosmology: dark matter - catalogs

1 Introduction

Clusters of galaxies are the largest collapsed systems known in the universe. Because the time scale of evolution of clusters is a significant fraction of the age of the Universe, the clusters may preserve information about the early universe and thus are considered to be excellent tracers of the formation and evolution of structures. They are considered to continue to grow into larger systems through complex interaction between smaller systems, namely merging process. It is possible that the clusters that we see are in different stages of evolution.

For the understanding of cluster structure and evolution, we believe it is important to analyze systematically a large number of clusters at various redshifts. After the ASCA (Tanaka et al. 1994) and the ROSAT (Trümper 1993) X-ray observatories were put into orbit, it became possible to study relatively distant clusters at X-ray energies. During 7-10 years of observations, more than one hundred clusters were recorded with both observatories. Since ASCA has a high sensitivity to measure the X-ray spectrum in the wide energy band while ROSAT is good at imaging in the soft X-ray band, the two observatories are an excellent combination to study properties of the intracluster medium (ICM). At present the XMM-Newton and the Chandra satellites are in orbit and generate much cluster data with higher sensitivities. However, as we will mention below, the data set used in the present paper will be one of the best existing to construct the largest sample of distant clusters and study global X-ray structures.

X-ray observations bring us valuable information on not only the physical state of the ICM but also the underlying potential structure of the clusters. Statistical studies are very powerful in exposing the physical nature of the clusters. In particular, nearby clusters have been extensively studied at X-ray wavelengths. As to the low redshift samples ($z\la0.1$), Mohr et al. (1999) performed a systematic analysis on the ROSAT PSPC data of 45 clusters and utilizing the published ICM temperatures, they investigated the correlation between the ICM mass and the temperature, namely the $M_{\rm gas}-T$ relation. They found that the slope of the relation is significantly steeper than that predicted from the self-similar model (Kaiser 1986). The observed luminosity-temperature ( $L_{\rm X}-T$) relation is also known to be steeper than the expectation of the self-similar model (e.g. David et al. 1993). The inconsistency between the observations and the simple theoretical model has been debated for many years and various possibilities such as non-gravitational heating (e.g. Evrard & Henry 1991; Cavaliere et al. 1997) and dependence of gas mass or gas-mass fraction on the temperature have been proposed (e.g. David et al. 1993; Neumann & Arnaud 2001). For higher redshift samples, however, the number of clusters that were uniformly analyzed was limited compared to the nearby clusters. The ASCA spectroscopic data of distant clusters were compiled by Mushotzky & Scharf (1997) (38 clusters with z>0.14), White (2000) (41 clusters with z>0.1 and 65 clusters with z<0.1), and Novicki et al. (2002) (32 clusters with 0.3<z<0.6 and 53 clusters with z<0.3), while the combined (i.e. spectral and imaging) analyses of the distant clusters were separately published in Allen (1998) (13 clusters with 0.1<z<0.45), Hashimotodani (1999) (27 clusters with 0.1<z<0.78), Ettori & Fabian (1999) (36 clusters at z>0.05), Schindler (1999) (11 clusters at z>0.3), Lewis et al. (1999) (14 clusters with 0.14<z<0.55) and Vikhlinin et al. (2002) (22 clusters at z>0.4). Recently, Ettori et al. (2004) reported the Chandra analysis of 28 clusters at 0.4<z<1.3 and observed the steeper slopes in the L-T and the $M_{\rm gas}-T$ relations, which provided hints of negative evolution in their relations at high redshift.

On the other hand, Ota (2001) and Ota & Mitsuda (2002) have attempted to construct the largest X-ray sample of distant clusters with z>0.1 based on the combined analysis of the ROSAT HRI and the ASCA GIS/SIS data. The data set used in the analysis is one of the best suited for the purpose of the present systematic study for the following reasons: the largest cluster sample of the pointed observations were stored in the ROSAT and the ASCA archival database, which enable us to cover the widest redshift range up to $z\sim 1$. The focal plane instruments, the ROSAT HRI and the ASCA GIS/SIS have sufficient sensitivities to study the global properties of the ICM spatial structure with a typical resolution of $~5\hbox{$^{\prime\prime}$ }$ and spectral features such as the ICM temperature and the luminosity, respectively. In addition, the instruments' responses were well calibrated and the use of the same detectors for all the clusters will reduce systematic effects when comparing their results. Our sample covers the intermediate redshift range of 0.1-0.8 between those of Mohr et al.'s sample (z<0.1) and Ettori et al.'s sample (0.4<z<1.3), thus combining our data with the other two samples is helpful in discussing the evolution of internal structure of the ICM directly from the observational point of views.

In this paper we describe a uniform analysis of the ROSAT HRI and the ASCA SIS/GIS data of 79 clusters performed in Ota (2001) and Ota & Mitsuda (2002) and thus provide an X-ray database of ICM structure with the widest redshift range of 0.1<z<0.82. In order to perform a reliable parameter determination we paid special attention to evaluating all possible systematic errors in the spatial and the spectral analyses. We determined the spectral and spatial properties of the intracluster gas in terms of the temperature, the core radius and the central electron density etc. for all of the clusters. In the image analysis we found that the sample can be naturally classified into regular and irregular clusters according to the X-ray surface brightness distribution. We present the statistical properties of the X-ray parameters and the relations to the double-$\beta$ nature of the clusters discovered in the core radius distribution. We also estimated the cluster total mass, the gas mass and the gas-mass fraction within a radius corresponding to a fixed overdensity of 500. We further studied the redshift dependency of the parameters and their correlations, where we considered a systematic error due mainly to the limited sensitivity of the instruments and some assumptions used in the estimations.

This paper is organized in the following manner. In the next section, we describe the characteristics of our samples. In Sects. 3 and 4, we explain the methods of spatial analysis with ROSAT and spectral analysis with ASCA in detail. In Sect. 5, we derive the X-ray parameters to describe the global structure of clusters and investigate their redshift dependence. In Sect. 6 we study correlations of the parameters and discuss the properties of the ICM. In Sect. 7 we summarize our results.

We use $\Omega_{\rm M} = 0.3$, $\Omega_{\Lambda}=0.7$ and $h_{70}\equiv H_0/(70~{\rm km~s^{-1}Mpc^{-1}})=1$. The quoted errors are the 90% confidence range throughout the paper except where noted.

  
2 The sample

We have selected distant clusters with $0.1\leq z \leq 1$ for which pointed X-ray observation data with both ASCA and ROSAT/HRI are available. Though there are 83 clusters which meet the criteria, we rejected three (A222, A223, A1758S) because of the large (>210'') pointing off-axis angles in the ROSAT observations. We did not include a high-redshift cluster, AXJ2016+112 at z=1(Hattori et al. 1997) because the Chandra observation showed that the X-ray emission from the direction of AXJ2016+112 can be resolved into point sources and the cluster diffuse emission is not prominent (Chartas et al. 2001). The final sample comprises 79 clusters. Among them, three clusters (#1 PKS 0745-19, #6 A2204, and #13 A1689) overlap with Mohr et al. (1999)'s nearby cluster sample and thirty are known to have strong gravitational lensing signals (e.g. Hattori et al. 1999). The observation logs are summarized in Table 1, where the clusters were sorted according to the redshift and numbered from 1 to 79. The redshift distribution of the sample is shown in Fig. 1a. The clusters with $0.1\leq z<0.3$, $0.3 \leq z<0.5$ and $0.5 \leq z < 1$ make up 58%, 32%, and 10% of the sample, respectively. The average redshift is 0.30.

Figure 1: a) Redshift distribution of 79 distant clusters. b) Redshift distribution of the 45 regular clusters (open) and the 34 irregular clusters (hatched).

Because our analysis targets were collected from the proposal observations and the sensitivities for high-redshift clusters are limited, we have to carefully consider possible selection bias. In the first step, we compare the sample with other unbiased cluster samples. We show temperature distributions of our sample and the nearby X-ray flux-limited 55 cluster sample constructed by Edge et al. (1990) in Fig. 2. Our sample covers the equivalent temperature range, but has a higher average temperature of 6.8 keV. The Kolmogorov-Smirnov (K-S) test gave the probability that the two samples are from the same temperature distribution as 0.06 (the K-S parameter, D = 0.24). Observation bias will be discussed in Sects. 5.1.1 and 5.2.2 in more detail.

Figure 2: Comparison of the temperature distribution of our 79 distant clusters (open) to the nearby flux limited 55 sample of Edge et al. (1990) (hatched).

  
3 Spatial analysis

3.1 Data reduction from event lists

We have retrieved the event lists of the ROSAT HRI detector from the ROSAT Data Archive of the Max-Plank-Institut für extraterrestrische Physik (MPE) at Garching, Germany. We used the EXSAS analysis package (Zimmermann et al. 1992) to produce X-ray images from the event lists. The raw HRI data has a 0 $.\!\!^{\prime\prime}$5 spatial resolution. However, since the half power diameter of the X-ray telescope is 4 $.\!\!^{\prime\prime}$8 at the optical axis and the photon counting statistics of the present data are limited, it is not worth oversampling the telescope point spread function (PSF). We thus rebinned the image into $5\hbox{$^{\prime\prime}$ }$ bins, within whose diameter about 70% of photons from a point source are included.

If there were multiple pointings for a cluster, and the pointing offset angles between them are smaller than $3\hbox{$^\prime$ }$, we superpose the event lists in the sky coordinate. The PHA channel of 1-10, which corresponds to 0.2-2 keV, was used to avoid particle background events.

Next we searched for foreground/background sources in the field of view with the standard source detection program in the EXSAS. We created lists of all the sources detected by the maximum likelihood technique and having a likelihood of >8. We used the lists to exclude those sources from the analysis.

Figure 3: Centroid determination and classification of X-ray morphology. #13 A1689 and #19 A2163 are shown in the left and right panels, respectively. From top to bottom: a) the HRI image in the pixel coordinates. b) The centroids determined in circles of radii $R=n\bar{\sigma}$ ( n=2,3,..,9), where the size of the symbols are nearly proportional to n. c) The deviations the centroids relative to that determined for $3\bar{\sigma}$ in units of standard error, shown as a function of $R~[\bar{\sigma}]$. While A1689 is classified as a regular cluster, A2163 is an irregular cluster due to the significant centroid deviation.

3.2 Centroid determination and X-ray morphology

We apply a method to determine cluster centroids and classify the morphology of clusters. A similar technique to find the cluster center was first introduced by Mohr et al. (1993). We extended the method to evaluate the systematic errors of the centroid determination for distant clusters and found that the analysis can also be used to determine the regularity of the X-ray distribution. The cluster emission is typically extended about $4\hbox{$^\prime$ }$ from the optical axis of the telescope. In this image region, the position dependence of the telescope vignetting is known to be less than 2% (Briel et al. 1997). The position dependence of the background intensity is also small up to ${\sim}12\hbox{$^\prime$ }$. Thus they do not affect the centroid determination.

The analysis consists of two major steps. First we estimate the 0th order center position and a parameter which represents the extent of the X-ray image, utilizing 1-dimensional image projections and Gaussian fits to them. Then, starting from the 0th order initial value, we determine the center from the center of gravity of the photon distribution.

First, we extracted a $4\hbox{$^\prime$ }\times4\hbox{$^\prime$ }$ image that contains the central region of the cluster emission. Then we projected along the x- and y-axes to get one-dimensional intensity profiles. We fit these with Gaussian functions, and determined the mean, (x_G,0, y_G,0)and the width, $(\sigma_{x,0},\sigma_{y,0})$. To determine these values with higher accuracy, we extracted an image of size $3\sigma_{x,0}\times 3\sigma_{y,0}$ whose center is at (x_G,0, y_G,0) and performed the one-dimensional Gaussian fitting again to derive the next set of (x_G,1, y_G,1) and $(\sigma_{x,1},\sigma_{y,1})$. The procedure was iterated i times until the mean position converged within 0.1 pixels i.e. |(x_G,i, y_G,i) - (x_G,i-1, y_G,i-1)| < (0.1, 0.1) or the number of iterations reached i=20. We then define a parameter $\bar{\sigma}$ as $\bar{\sigma} \equiv (\sigma_{x,i} + \sigma_{y,i})/2$, which is a measure of the image extent for further analysis.

Next we determine the cluster center from the center of gravity of the photon distribution in an aperture circle of radius, R. Then if the X-ray image is circularly symmetric and the center of the circle is at the X-ray center, the center of gravity of the photon distribution should coincide with the center of the circle. For a given value of R, we can determine the center position, $\vec{r}_{i} \equiv \sum_{R} \vec{p}/\sum_{R} 1$, where $\vec{p}$ represents the position of the photon, and $\sum_{R}$ sums all the photons over the circular area of the radius R. Then starting with the mean position determined in the previous paragraph, $\vec{r}_0=(x_{G,i}, y_{G,i})$, we extract a circular image of the radius R centered at $\vec{r}_0$, and calculate the centroid position $\vec{r}_1$. We continue the iteration until $\vert\vec{r}_{i}-\vec{r}_{i-1}\vert$ becomes less than 0.1 pixels. If there were contaminating sources in the circle, we excluded the region centered at the sources and the region symmetric to them so as not to affect the centroid determination. We changed the aperture radius R from 2 $\bar{\sigma}$ to 9 $\bar{\sigma}$ to study the R dependence of the results. As a result, while some clusters showed constant centroids almost independent of the radius, others exhibited systematic behavior. Two representative cases are shown in Fig. 3.

The dependence of the center of gravity on the aperture radius may indicate some asymmetry or substructures of the cluster. However, because the results with different R are not statistically independent, the Poisson fluctuations may produce systematic deviations. To estimate this effect, we performed Monte-Carlo simulations and generated a number of simulation images assuming the isothermal $\beta$-model as the X-ray image distribution. We calculated the RMS value of the distance between the center of gravity and the true center, $\sigma_{\rm MC}$, for various combinations of parameters, the cluster core radius $r_{\rm c}$, the number of photons N and the size of the aperture R, while $\beta$ was fixed to the typical value of 0.67.

If the displacement of the center of gravity with different values of the aperture radius R is larger than the standard deviation determined from the simulation, we can conclude that there is asymmetry or substructures. In Fig. 3, we show the deviation of the center of gravity from that determined for $R=3\bar{\sigma}$normalized by the standard deviation. For some clusters the deviation is well within the $1\sigma_{\rm MC}$ level; however, for others it is not. We define criteria for irregularity of clusters as follows: (1) more than 1 data point whose deviation exceeds $3\sigma_{\rm MC}$, and/or (2) deviations ( ${>}1\sigma_{\rm MC}$) seen in more than a few consecutive points. Accordingly, we classified our sample into regular and irregular clusters. The results are listed in Table 2. The ratio of regular to irregular is 45:34 and the redshift distributions of the two subgroups are shown in Fig. 1b.

3.3 Radial X-ray surface brightness profiles

We derive azimuthally-averaged radial profiles of the X-ray surface brightness centered at the cluster centroids that were determined within the $3\bar{\sigma}$ aperture radii for both the regular and irregular clusters. We have chosen the centroids because they are less affected by the Poisson fluctuations in the outer image regions. The bin size of the radial profile is 5 $^{\prime\prime}$. We excluded the contaminating sources from the integration area with a circle of radius 5 times the FWHM of the PSF at position.

We study the effect of the choice of the center on the results of the radial profile fits, by shifting the center positions determined for R between $2\bar{\sigma}$ and $9\bar{\sigma}$. We found the $\beta$-model parameters (Sect. 3.4) constant within the statistical errors for all the regular clusters and many of the irregular clusters. For 30% of the irregular clusters, the resulting core radius increases typically by a factor of 2 as R increases from $2\bar{\sigma}$ to $9\bar{\sigma}$.

   
3.4 Radial profile fitting with a single $\beta$-model

In the following two subsections, we analyze the X-ray radial profile under the isothermal $\beta$-model (Cavaliere & Fusco-Femiano 1976). The single $\beta$-model fitting function is written as

$$S(r) = S_0\left[ 1 + \left(\frac{r}{r_{\rm c}}\right)^2\right]^{-3\beta+1/2} + C ,$$ (1)

where S₀, $r_{\rm c}$ and $\beta$ are the central surface brightness, core radius and the outer slope, respectively, and C is a constant background. In Fig. 4a we show an example of the radial profile fit.

Figure 4: Radial X-ray surface brightness profile of #13 A1689 fitted with the single $\beta$-model a) and the double $\beta$-model b). The crosses denote the observed radial profile of the ROSAT HRI, and the step functions show the best-fit $\beta$-models. The best-fit background levels are shown with the horizontal dashed lines. In the panel b), the contribution of the inner and the outer component of the double $\beta$-model are also shown with the dash-dot and the dotted lines, respectively.

It is crucial for reliable determination of the model parameters to estimate the background level correctly. The HRI background is dominated by the particle background (Briel et al. 1997) and the detailed calibration by Snowden (1998) showed that it can be modeled by a constant image within ${\sim}12'$ from the detector center. The counting rate of the particle background depends strongly on the satellite orbit and time, and typically ranges from 1 to 10 ${\rm counts~s^{-1}}$ over the entire detector. Thus the background counting rate needs to be determined observation by observation. We determined the background level from the radial profile including the background as one of the fitting parameters as Eq. (1). Since we do not know the true extent of the cluster emission and also $r_{\rm c}$and $\beta$ are strongly coupled (Fig. 5), the background level and the model parameters depend on the outer radius of the fitting area, $r_{\rm out}$. Particularly when $r_{\rm out}$ is too small, the background level determined from the fit tends to be over- or under-estimated and results in uncertain $r_{\rm c}$ and $\beta$. However, as shown in Fig. 6, the best-fit parameters converge to constants if $r_{\rm out}$ is large enough, typically  ${\ga} 10\bar{\sigma}$. For all the clusters, we confirmed that the parameters converge at $r_{\rm out}=12\hbox{$^\prime$ }$. Thus we decided to adopt this value for all clusters, within which the background can be regarded as constant. Finally the background level we obtained from fits are reasonable background levels.

Figure 5: $\chi ^2$ contour of the single $\beta$-model fit for #13 A1689. The position of $\chi ^2$ minimum is denoted with a cross. The curve corresponds to the single-parameter error domain at 90% confidence.

Figure 6: Effect of the outer cut off radius in the single $\beta$ model fitting. The results for #13 A1689 are shown as an example. The four parameters of the single $\beta$-model, $S_0~{\rm [counts~s^{-1}~arcmin^{-2}]}$, $\beta$, $r_{\rm c}~{\rm [arcsec]}$, $C~{\rm [10^{-3}counts~s^{-1}~arcmin^{-2}]}$ are shown as a function of the outer cutoff radius, $r_{\rm out}$ in unit of $\bar{\sigma}$. The results of the constant fits to the data points at $r_{\rm out}\ge 10$ are shown with the dotted lines.

Because the effective area of the X-ray telescope decreases with off-axis angle, the cluster image may be affected by the vignetting. However since the off-axis angle of the cluster centroid of the present data is smaller than $4\hbox{$^\prime$ }$, and the typical spatial extent of the present clusters is ${\sim} 4\hbox{$^\prime$ }$, the vignetting effect is at most 3% at the rim of the clusters (the HRI vignetting function is given in Briel et al. (1997)). Although we performed fits with the $\beta$-model fitting function with and without the correction of the vignetting function, the results showed no difference.

The $\beta$-model function needs to be convolved with the X-ray telescope PSF, then integrated over the image bin. However, since the present image bin size is larger than the extent of the PSF, the convolution with the PSF is not important. Also, the $\beta$-model function varies slowly within the $5\hbox{$^{\prime\prime}$ }$ bins in most cases, so integration within the image bin can be replaced by the value at the center of the bin. We confirmed these with simulations by comparing two cases with and without convolution in the fitting model. As shown in Fig. 7, we find the difference of the two cases to be negligibly small as long as the core radius is larger than the bin size, $5\hbox{$^{\prime\prime}$ }$. We also confirmed that both cases well reproduce the assumed  $\beta$ value of 0.6 within reasonable statistical errors. Thus in order to make the computation time shorter, we skip the convolution with the PSF and the integration over the bin. If the best-fit value (and the error domain) of the core radius is smaller than the bin size, we regard it as an upper limit.

Figure 7: Reproducibility of $r_{\rm c}$ in the single $\beta$-model analysis. The x-axis is the assumed core radius in the simulation cluster image, and the y-axis is the core radius derived from fitting with two different models: the $\beta$-model with and without the PSF convolution. The results for three different photon counts are shown in each panel.

In Fig. 5, we showed a  $\chi ^2$ contour map on the  $\beta-r_{\rm c}$ plane where the other free parameters, S₀ and C, are optimized at each point of the plane. The two parameters are strongly coupled and the allowed parameter range exists in an elongated region. We quote the 90% confidence intervals on the best-fit parameters. Table 2 lists the results of single $\beta$-model fitting. For #43 A1758 and #79 MS1054.5-0321, because the fitting parameters did not converge properly, we optimized the parameters within the range of  $\beta \leq 3$.

We compared the results of $\beta$-model fitting with Hashimotodani (1999) for 27 ROSAT/HRI clusters with 0.1<z<0.78 and Ettori et al. (2004) for 10 high redshift Chandra clusters with constrained model parameters. We found that there is a good agreement for $\beta$ and $r_{\rm c}$ measurements between our and Hashimotodani samples within their statistical errors. Furthermore for 8 of the 10 high redshift clusters, there is a good agreement between our and the Ettori et al. samples within the 90% statistical errors. For the two highest redshift samples, #70 RX J1347.5-1145 (z=0.451) and #71 3C 295 (z=0.4641), $r_{\rm c}$ is systematically smaller by about 40% compared to the Chandra measurements. $\beta$ is also systematically smaller with the mean ratio of 0.93 for 10 high redshift samples, although the difference is the ${\sim} 2\sigma$ effect. We consider that the limited sensitivity of the HRI for the outer part of the cluster emission may cause the underestimation of $\beta$ for the highest redshift (z>0.4) samples.

As a result, the fractions of clusters with $\chi ^2$ values exceeding the 90% and 99% confidence levels are 25/79 (=0.32) and 11/79 (=0.14), respectively. The fractions are larger than expected only by the statistical errors. Thus there may be some systematic errors that are not well explained by the single $\beta$-model. For some clusters, systematic deviations from the current model are particularly seen in the central regions (e.g. #13 A1689), which will be discussed in the next subsection.

We also evaluated an X-ray significance radius, $r_{\rm X}$, representing the extension of the observed cluster X-ray emission at which the best-fit $\beta$-model surface brightness becomes equal to the $3\sigma$ background level. The results are also listed in Table 5.

   
3.5 Radial profile fitting with a double $\beta$-model

For some clusters, systematic residuals are seen in the results of single $\beta$-model fitting. As often seen in nearby clusters, this may be attributed to the presence of central excess emission. The excess component is often represented by an additional $\beta$-model component (Jones & Forman 1984), whose core radius is $10\sim200~h_{50}^{-1}$ kpc, and on average 60 h₅₀^-1 kpc (Mohr et al. 1999). This corresponds to only several bins of the present analysis even at z=0.1. It is not easy to constrain such central emission in the distant clusters. To evaluate the statistical significance of the central emission, we attempted two methods. We restrict this analysis to the 45 regular clusters because the irregular clusters are often accompanied by substructures, which can cause artificial double structures in their radial profiles.

In the first analysis, we exclude central bins from the fit and investigate the variation of single $\beta$-model parameters against the inner cutoff radius, $r_{\rm in}$. We test the improvement in the $\chi ^2$ value of the fit with the F-test compared to the case of $r_{\rm in}=0$ (Fig. 8). We define the value of F as $F=((\chi_1^2-\chi_2^2)/(\nu_1-\nu_2))/(\chi_2^2/\nu_2)$, where $\chi ^2$ and $\nu$ are the minimum $\chi ^2$ value and the degrees of freedom, and the suffix "1'' and "2'' correspond to the case of $r_{\rm in}=0$ and $r_{\rm in}=n$ pixels, respectively ( $\nu_1 - \nu_2 = n$). For nine clusters, we find that the probability of exceeding the F value, P, rises at a certain $r_{\rm in}$. For seven such cases, the core radius also starts increasing at the same inner cutoff radius. This indicates that the nine clusters have significant two core sizes. Moreover for the seven of the nine the core radius of the inner component at which the significant improvement of $\chi ^2$starts is roughly $r_{\rm c}$.

Figure 8: Effect of the inner cutoff radius in the single $\beta$ model fitting. The results for #13 A1689 are shown as an example. From top to bottom, the resultant values of $r_{\rm c}$ [arcsec], F (see Sect. 3.5 for definition) and the probability of exceeding the F value, P, are shown.

In the second analysis, we assumed the double $\beta$-model composed of different core radii ( r₁ < r₂),

$$S(r)=\sum_{i=1}^{2} S_i \left[ 1 + \left(\frac{r}{r_{i}}\right)^2\right]^{-3\beta_i+1/2} + C ,$$ (2)

and performed fitting to the radial profiles (Fig. 4b). Because the inner slope $\beta_1$ is insensitive to the fit, we linked it to the outer value, $\beta _1 = \beta _2$. We tested the statistical significance of the improvement of the $\chi ^2$ value by the F-test against the single $\beta$-model; $F = ( (\chi_{\rm s}^2-\chi_{\rm d}^2) /(\nu_{\rm s}-\nu_{\rm d}))/(\chi_{\rm d}^2/\nu_{\rm d})$, where the suffixes "s'' and "d'' stand for the case of the single $\beta$-model and the double $\beta$-model, respectively. We found that nine of the regular clusters have significance above the 95% level. Those nine clusters are the same clusters for which the double core nature is found in the previous analysis. We refer to the nine clusters with significant double structure as "double-$\beta$'' clusters and show the result of the double $\beta$-model fitting in Table 3.

We have plotted the two core radii against the core radius derived by the single $\beta$-model for the nine "double-$\beta$'' clusters in Fig. 9a. It is remarkable that one of the two cores is nearly consistent with the core of the single $\beta$-model, namely $r_{\rm c}\sim r_1$ or $r_{\rm c} \sim r_2$. This indicates that the single $\beta$-model tends to detect the one of the two components that is more dominant. We also show the ratio of two cores versus the ratio of two normalization factors in Fig. 9b. r₂/r₁ is ${\sim} 4$ on average, while S₂/S₁ ranges from 0.01 to 1. These are consistent with nearby clusters (Mohr et al. 1999). We can classify them into two groups: inner core dominated clusters ( $S_2/S_1 \la 0.1$) and outer core dominated clusters ( $S_2/S_1 \sim 1$). For the inner core dominant clusters, the single $\beta$-model fit picks up the inner $\beta$-model component, while for the outer core dominant clusters, the outer component is picked up. In Table 2 the inner/outer core dominant clusters are denoted with W(1)/W(2).

Figure 9: Core radii derived by the double $\beta$-model for the nine clusters with significant double structure. The panel a) shows the relation between two core radii of the double $\beta$-model and that of the single $\beta$-model, where the inner and outer cores of the double $\beta$ model are shown with the filled and open circles, respectively. The panel b) shows the ratio of the two cores and the ratio of the two normalization factors in Eq. (2). The two data points whose S2/S1 are large (${\sim } 1$) in the panel b) correspond to the two clusters with large core radius of the single $\beta$-model in the panel a).

We then investigated the reproducibility of the best-fit parameters of the double $\beta$-model utilizing Monte-Carlo simulations. We made ten simulation clusters for each set of model parameters described below and fitted them with the double $\beta$-model. We assumed $r_1 = 3~{\rm pixels}~({=}15\hbox{$^{\prime\prime}$ })$ as a typical core radius of the inner component and several different values of r₂ between 6 and 24 pixels. We fixed $\beta_1 =\beta_2 = 0.67$. For the intensity ratio, we checked two typical cases, i.e. S₂/S₁ = 0.1 and 1.0. We then generated 75 000 events within a radius of  $12\hbox{$^\prime$ }$, which are typical total counts for double-$\beta$ clusters including background. We confirmed that the two core radii are well determined as long as $r_2/r_1 \geq 3$. Thus, at least for the nine double-$\beta$ clusters we detected, we can conclude that the model parameters are well-determined by the model fitting.

3.6 Fraction of double-$\beta$ clusters

We also find that the double-$\beta$ clusters are found only at z<0.3 and the ratio to the regular clusters at z<0.3 is 32%. However we have to take into account the fact that such double structures are difficult to find at higher (z>0.3) redshifts because of the low surface brightness. In order to constrain the double structure at higher redshifts, we estimated the upper limits of the possible additional $\beta$-model component. For this purpose we fitted the radial profile with double $\beta$-model with the ratio of the two cores fixed at the average of nine double-$\beta$ clusters, r₂/r₁=4. We need to consider two cases: (1) the inner component is dominant, namely the inner core radius is approximately the core radius of the single $\beta$-model, $r_{1}\sim r_{\rm c}$, and (2) the outer component is dominant, $r_{2}\sim r_{\rm c}$. We thus performed the fit with $r_{1}\sim r_{\rm c}$ or $r_{2}\sim r_{\rm c}$ as the initial value. For some cases, the fit converged to certain best-fit values or upper limits of the fitting parameters. However in some cases the fit did not converge. In such cases we fixed r₁ or r₂ at the value of $r_{\rm c}$ obtained from the single $\beta$-model fitting.

We find that in addition to the nine double-$\beta$ clusters, there are several other clusters that may contain a second component. In case (1) the outer component is marginally detected for seven clusters at the 90% confidence level. For other 17 clusters, the upper limit of the surface brightness of the outer component is within the range (0.01 - 0.1)S₁ which is comparable to the range for the seven inner-core dominant double-$\beta$ clusters. In case (2) the inner component is marginally detected for three clusters, and the upper limit is consistent with the two double-$\beta$ clusters for the other 16. In Table 2 the clusters with marginal inner/outer component are denoted with S(1)/S(2).

We finally obtain the fraction of clusters with marginal double-$\beta$ structure at z>0.3 to be 35%. It is comparable to the occurrence of the double structures in the lower redshift systems within the Poisson errors. Thus we cannot conclude that there is significant evolution of the fraction of the double-$\beta$ clusters in the regular clusters within the observed redshift range. On the other hand, Ettori et al. (2004) noted based on the $\beta$-model analysis that their high redshift (z>0.4) samples do not show any significant double structure in the surface brightness distribution. Thus there might be a trend of evolution in the core structure of the ICM distribution starting around $z\sim 0.4$. We suggest that this should be confirmed by further observations.

  
4 Spectral analysis

4.1 Data reduction

We retrieved the ASCA data sets from the High Energy Astrophysics Science Archive Research Center (HEASARC) at NASA/Goddard Space Flight Center and the DARTS Online Service at the Institute of Space and Astronautical Science (ISAS) that were screened with the standard REV-2 processing. We use the FTOOLS analysis package to reduce the cluster spectra, and calculate the response functions of the telescopes and the detectors.

The GIS was operated in the PH-nominal mode during observations. The SIS has several choices between the CCD data modes (FAINT or BRIGHT) and the CCD clocking modes (1CCD or 2CCD or 4CCD). For observations done in a mixture of the FAINT and BRIGHT modes, we can combine converted BRIGHT (on-board FAINT) and on-board BRIGHT mode data.

First we extacted the X-ray images in the 0.7-10 keV for the GIS and the 0.5-10 keV for the SIS, respectively. The two sensors in the same system, namely GIS-2, -3 and SIS-0, -1 are added together. We fitted the projected images to Gaussian functions and determined the peak positions. We accumulate spectra from a circular region centered on the Gaussian peak, where the extraction radii are $6\hbox{$^\prime$ }$ and $3\hbox{$^\prime$ }$ for the GIS and the SIS, respectively. We will discuss the effect of the contamination from foreground/background point sources in the next subsection. We select a larger integration area for the GIS because the FWHM of the point spread function of the GIS detector alone depends on the incident photon energy E keV, and is given by $0.5\times(5.9/E)$ (The ASCA Data Reduction Guide 2002). The FWHM for soft photons is wider than for hard photons; the smaller integration radius would make the spectrum harder, resulting in a systematically higher temperature. This is a serious effect for a distant cluster with apparent core size larger than  $1\hbox{$^\prime$ }$ when the GIS integration radius is smaller than  ${\sim} 4\hbox{$^\prime$ }$. Note that  $6\hbox{$^\prime$ }$ corresponds to ${\sim } 1$ Mpc at z=0.1, and it mostly covers the cluster region corresponding to $\Delta _{\rm c}=500$ (see Sect. 5.2.1 for definition). The systematic error in estimating the bolometric luminosity due to the fixed integration radii will be discussed in the next subsection.

We subtract background spectra that were obtained during blank-sky observations. Because the ASCA background has a detector position dependency, we extract them from the same region as the cluster in the detector coordinates.

The instrument response can be split into two parts: a redistribution matrix (RMF), which specifies the channel probability distribution for a photon of given energy, and an effective area curve (ARF), which specifies the telescope area and window absorption. We utilized the latest version of the GIS RMFs, gis2v4_0.rmf and gis3v4_0.rmf, while we generate the SIS RMF using the FTOOL sisrmg. We built the ARF files with the ASCAARF program appropriate for the cluster extended emission, summing the ARFs for each bin in the cluster image region according to the weight of the photon counts.

4.2 Fitting with Raymond-Smith model

In order to measure the average, emission-weighted X-ray temperature of the gas, we fitted the SIS and GIS spectra simultaneously with a thin-thermal plasma emission model from Raymond & Smith (1977). There are four parameters in the spectral model, the temperature kT, the metallicity relative to the solar abundance Z, the redshift z, and the normalization factor. The redshift of each object was fixed at the cataloged value in the NASA/IPAC Extragalactic Database (NED). The fitting function was convolved with the telescope and detector response functions. In the spectral fitting, we used the XSPEC version 9.0 analysis software (Arnaud 1996). We rebinned the spectral channels so that each bin contains at least 40 photons.

Yaqoob (1999) pointed out that fitting with fixed $N_{\rm H}$result in a systematically high temperature because of the serious decrease of the low-energy efficiency of the SIS since early 1994. To avoid the problem, the absorption column density $N_{\rm H}$ was allowed to vary. Note that in the observation of #57 A402, which was done during the AO7 phase, a serious reduction in the efficiency below 1 keV was seen in the SIS spectra, so we used only the GIS data for this cluster.

We checked the contribution of foreground/background contaminating sources in the ASCA spectra. We picked up the point sources whose photon counts are greater than 10% of the cluster from the HRI source lists. Excluding regions of $r=1\hbox{$^\prime$ }$ circles around the sources, we recalculate the spectra, responses and backgrounds to determine the temperature by the Raymond-Smith model fitting. Note that Energy Encircled Function at $1\hbox{$^\prime$ }$ is approximately ${\sim} 0.3$ for the GIS and ${\sim} 0.4$ for the SIS, respectively. We estimated the difference of the best-fit temperatures with and without point sources excluded relative to the $1\sigma$ error of the measurement, and found that the contribution of the point-like sources does not affect the temperature measurement for most cases, except for #56 CL0500-24, #66 CL0024+17, #76 3C 220.1, and A963. For #20 A963, we excluded one nearby source from the spectral region of the GIS and the SIS. More specific analyses are described in Ota et al. (1998) for CL0500-24, Soucail et al. (2000) for CL0024+17, Ota et al. (2000) for 3C 220.1. In the case of CL0500-24 and CL0024+17, only the SIS data were used. Table 4 lists the results of the spectral analysis.

We compared our results with values published in White (2000) (there are 26 clusters in common) to find a good agreement between the two measurements with a mean temperature ratio of 1.04. We also compared 6 high redshift clusters with constrained ASCA temperature with Ettori et al. (2004). The temperatures for 5 clusters are statistically consistent between the two results, while there is systematic difference for #71 3C 295. As for 3C 295, Ettori et al. (2004) excluded the central emission associated with the AGN, thus our temperature measurement may be affected by the AGN.

We estimated the X-ray luminosity in the 2-10 keV band from the GIS flux, $L_{\rm X} (6')$, and converted it into the bolometric luminosity, $L_{\rm X,bol}(6')$, using the emissivity of the Raymond-Smith plasma model. In order to check the systematic error of the luminosity estimation, we calculated the bolometric luminosity by integrating the $\beta$-model surface brightness distribution determined with the ROSAT HRI within the same integration area, to find that two estimations are consistent within about 15%. Then we derived the bolometric luminosity within r₅₀₀ (see Sect. 5.2.1), $L_{\rm X,bol}$, by multiplying $L_{\rm X,bol}(6')$ with the ratio of the luminosities within r₅₀₀ to 6' using the $\beta$-model. In Table 4 we listed $L_{\rm X} (6')$, $L_{\rm X,bol}(6')$, and $L_{\rm X,bol}$.

  
5 Cluster parameters

In Sect. 3 we analyzed the cluster surface brightness distribution under the assumption that the gas is isothermal, and the spatial distribution is described by the single $\beta$-model or the double $\beta$ model. In Sect. 4, we determined the average X-ray temperature with the ASCA spectral data. The X-ray images and the fitting results of individual clusters are shown in Fig. C.1. We will derive some physical quantities of the clusters from the X-ray parameters obtained from the analysis and investigate the redshift dependence of these parameters and the histograms.

5.1 Parameters from spectral analysis

   
5.1.1 Redshift dependence of spectral parameters

We show the spectral parameters obtained with the Raymond-Smith fittings as a function of redshift in Fig. 10. In the plot of the temperature, we quoted the results of nearby clusters (Mohr et al. 1999) for comparison. There is no significant change in the temperature over a wide redshift range, particularly in z<0.5. On the other hand, some clusters with z>0.5 resulted in very high temperatures, though their errors are not well-constrained due to the limited photon statistics and the error range overlaps with the high temperature clusters in z<0.5.

Figure 10: X-ray temperature a), metal abundance b), the 2-10 keV flux c) and the 2-10 keV luminosity within $r<6\hbox {$^\prime $ }$ d) measured with ASCA. At z>0.1, the filled circles and the open triangles are the regular and the irregular clusters in our sample. The filled stars show the double-$\beta$ clusters in our sample. The ASCA sensitivity curve is indicated with the dotted line in the panel of kT, assuming the luminosity-temperature relation. The temperatures of clusters with z<0.1 were taken from Mohr et al. (1999). The asterisks and the filled squares denote the single-$\beta$ and double-$\beta$ clusters in the nearby sample, respectively.

Figure 11: Histograms of the spectral parameters determined with ASCA for 79 clusters (open). The panels a) and b) show the best-fit temperature and the metal abundance determined from the Raymond-Smith model fitting, respectively. The X-ray flux and the luminosity within $r<6\hbox {$^\prime $ }$ in the 2-10 keV band estimated with the GIS are shown in c) and d), respectively. The results of the double-$\beta$ clusters are superposed (hatched).

As indicated from Fig. 10a, it is hard to detect a cluster whose X-ray flux is below ${\sim}10^{-13}~{\rm erg~s^{-1}~cm^{-2}}$ due to the detection limit of ASCA. This flux corresponds to ${\sim} 1\times 10^{44}~{\rm erg~s^{-1}}$ at z=0.5 and to $kT\sim2.5$ keV from the $L_{\rm X}-T$relation. Thus at z>0.5, clusters with temperature lower than 2.5 keV are barely detected. We consider that this can account for the higher average temperature at z>0.5.

5.1.2 Histograms of the spectral parameters

In Fig. 11 we plot the number of occurrence of each spectral parameter to study how the samples are distributed in the parameter space, regardless of the redshift. We show the distributions of the regular and the irregular clusters separately as well as the distributions of all the clusters. As a result, there is no clear difference between the distributions of the regular and irregular clusters. In Table 8 we summarize the mean and the standard deviation of the spectral parameters.

 

 

Table 8: Means and standard deviations of cluster parameters.

Parameter	Regular (45)		Irregular (34)		All (79)
	Mean	Standard deviation	Mean	Standard deviation	Mean	Standard deviation
kT [keV]	6.3	2.8	7.2	2.7	6.8	2.8
Z [solar]	0.33	0.22	0.24	0.15	0.29	0.19
$L_{\rm X,bol}$ [erg/s]	$1.7\times10^{45}$	$1.9\times10^{45}$	$1.7\times10^{45}$	$1.7\times10^{45}$	$1.7\times10^{45}$	$1.8\times10^{45}$
$\beta$	0.56	0.11	0.73	0.61	0.64	0.32
$r_{\rm c}$ [ h70-1 Mpc]	0.076	0.060	0.273	0.259	0.163	0.202
$n_{\rm e0}$ [ $h_{70}^{1/2}~ {\rm cm^{-3}}$]	$3.6\times10^{-2}$	$2.9\times10^{-2}$	$7.4\times10^{-3}$	$8.4\times10^{-3}$	$2.4\times10^{-2}$	$2.6\times10^{-2}$
$\rho _0$ [ $h_{70}^{2}~ {\rm g~cm^{-3}}$]	$2.5\times10^{-24}$	$2.5\times10^{-24}$	$7.3\times10^{-25}$	$2.7\times10^{-24}$	$1.7\times10^{-24}$	$2.7\times10^{-24}$
$t_{\rm cool}$ [Gyr]	4.4	4.6	15.6	8.1	9.4	8.5
r500 [ h70-1 Mpc]	0.96	0.22	1.1	0.4	1.0	0.3
M500 [ $h_{70}^{-1}~{M_{\odot}}$]	$4.3\times10^{14}$	$5.1\times10^{14}$	$9.7\times10^{14}$	$2.4\times10^{15}$	$6.7\times10^{14}$	$1.6\times10^{15}$
$M_{\rm gas}$ [ $h_{70}^{-5/2}~{M_{\odot}}$]	$7.1\times10^{13}$	$4.3\times10^{13}$	$9.5\times10^{13}$	$6.5\times10^{13}$	$8.2\times10^{13}$	$5.5\times10^{13}$
$f_{\rm gas}$ [ h70-3/2]	0.20	0.08	0.18	0.07	0.20	0.07

5.2 Parameters from $\beta$-model analysis

  
5.2.1 Definitions of cluster parameters

From the $\beta$-model fits and spectral analysis we obtained four primary X-ray parameters $(kT, \beta, r_{\rm c}, S_0)$ to describe the intracluster gas. From these parameters, we evaluate several important quantities that characterize properties of the clusters and the ICM. Below we summarize the definitions of these quantities.

1.

Electron density at the cluster center: $n_{\rm e0}$
The central electron density can be determined from the central surface brightness S₀, $\beta$, $r_{\rm c}$ and the temperature. However, from the present analysis, we obtained the central surface photon flux convolved with the telescope and the detector responses. In this case S₀ can be written as

 

$$S_{\rm p0}(E_1,E_2) = \int_{E_1}^{E_2} {\rm d}E' \int {\rm d}E R(... ...r_{\rm c}}{4\pi (D_{\rm A} (1+z))^2} \frac{\Gamma(3\beta-1/2)}{\Gamma(3\beta)},$$ (3)

where $S_{\rm p0}(E_1,E_2)~{\rm [counts~s^{-1}~cm^{-2}]}$ is the photon flux in the E₁ - E₂energy band, R(E',E) and A(E) respectively represent the response function of the detector and the effective area of the X-ray telescope/detector system, $\Lambda_{\rm p}(T,Z,E,z)$ the emissivity in units of ${\rm photons~s^{-1}~cm^{3}~keV^{-1}}$ for the object at redshift z. $D_{\rm A}$ is the angular size distance to the cluster. We utilized the XSPEC program to perform the convolutions with the detector response functions. We adopt $n_{\rm H0}=(\mu_{\rm e}/\mu_{\rm H})n_{\rm e0}$, where $\mu_{\rm H} = 1.40$ and $\mu_{\rm e} = 1.167$.

2.

Cluster mass profile and density profile: M(r), $\bar{\rho}(r)$, $\rho _0$
Assuming that the intracluster gas is in hydrostatic equilibrium, the following condition is satisfied:

$$\frac{kT}{\mu m_{\rm p}}\left( \frac{{\rm d}\!\ln\rho_{\rm ga... ...\rm d}\!\ln T}{{\rm d}\!\ln r} \right) = -\frac{GM(r)}{r}\cdot$$ (4)

In the case that the cluster gas is isothermal and has a $\beta$-model density profile, $\rho_{\rm gas}(r)=\rho_{\rm gas}(0)(1+(r/r_{\rm c})^2)^{-3\beta/2}$, where $\rho_{\rm gas}(0)=\mu_{\rm e} m_{\rm p} n_{\rm e0}$, the total mass contained within the radius r, is estimated from

$$M(r) = \frac{3kT\beta r}{\mu m_{\rm p} G}\frac{(r/r_{\rm c})^2}{1+(r/r_{\rm c})^2}\cdot$$ (5)

The average density within r is then

$$\bar{\rho}(r) = \frac{M(r)}{\frac{4}{3}\pi r^3} = \frac{\rho_0}{1 + (r/r_{\rm c})^2},$$ (6)

where $\rho_0 \equiv 9kT\beta/4\pi G\mu m_{\rm p} r_{\rm c}^2$ is the central total matter density.

Figure 12: Results from $\beta$-model analysis. In the panels a)- e), $\beta$, $r_{\rm c}$, $n_{\rm e}$, $\rho _0$, and $t_{\rm cool}$ are shown. At z>0.1, the filled circles and the open triangles are the regular and the irregular clusters in our sample. The filled stars and the open stars show the inner core and the outer core of the double-$\beta$clusters in our sample. At z<0.1 the filled squares and the open squares denote the inner and outer components of the double-$\beta$ clusters in the nearby Mohr et al. (1999) sample. The asterisks denote the nearby single-$\beta$clusters. In the panel of $r_{\rm c}$, the selection effects due to the sensitivity and the spatial resolution of the ROSAT HRI are indicated with the dotted line and the dashed line, respectively. In the panel of $t_{\rm cool}$ we show a curve on which $t_{\rm cool}$ is equal to the age of the Universe at the cluster redshift.

3.

Cooling timescale of the gas at the cluster center: $t_{\rm cool}$.
We estimate the radiative cooling timescale of the intracluster gas at the cluster center as

$$t_{\rm cool}=\frac{3k\sqrt{T}}{q_{\rm ff} n_{\rm e0}},$$ (7)

where $q_{\rm ff}$ is related to the volume emissivity of thermal Bremsstrahlung through $\epsilon_{\rm ff}=q_{\rm ff}n_{\rm e}^2 T^{1/2}$.

Figure 13: r500, M500, $M_{\rm gas}$, and $f_{\rm gas}$derived from $\beta$-model analysis are shown in the panels a)- d). See Sect. 5.2.1 for definitions of the parameters. The meanings of the symbols are the same as in Fig. 12.

4.

Cluster limiting radius (overdensity radius) and cluster mass: r₅₀₀ and M₅₀₀.
We determine a cluster limiting radius within which the average density $\bar{\rho}(r)$ is equal to $\Delta_{\rm c}$ times the critical density of the universe at the collapse time; namely

$$\bar{\rho}(r) =\Delta_{\rm c} \rho_{\rm crit}(z_{\rm col}).$$ (8)

We adopt a fixed overdensity of $\Delta _{\rm c}=500$, which is justified in a sense that Evrard et al. (1996) suggested from their numerical simulations to use this value to study the gas properties and that the hydrostatic assumption is not valid beyond this radius, and that Finoguenov et al. (2001) showed that an assumption of isothermality also works at such overdensities. Since we do not know the redshift of the cluster collapse, the most simple assumption is that the clusters are observed just after they are formed, i.e. $z_{\rm col} = z_{\rm obs}$. We will determine the overdensity radius, r₅₀₀ under this assumption and calculate the hydrostatic mass within r₅₀₀, M₅₀₀, from Eq. (5).

5.

Gas mass, and gas-mass fraction within r₅₀₀: $M_{\rm gas}$ and $f_{\rm gas}$.
The gas mass within r₅₀₀ is derived with

 

$$M_{\rm gas} \int^{r_{500}}_0 \rho_{\rm gas}(r) 4\pi r^2 {\rm d}r$$ =

$$4\pi \rho_{\rm gas}(0) {r_{\rm c}}^3 \int^{x_{500}}_0 (1+x^2)^{-3\beta/2}x^2 {\rm d}x,$$ = (9)

where $x=r/r_{\rm c}$ and $x_{500}= r_{500}/r_{\rm c}$. Then we obtain the gas-mass fraction with $f_{\rm gas} = M_{\rm gas}/M_{500}$.

Among the four X-ray parameters, the temperature kT is independently determined from the other three $\beta$-model parameters. However, the statistical errors of the three parameters are coupled to one another. In particular the coupling between $\beta$ and $r_{\rm c}$ is strong (Fig.  5). We determined the statistical errors of the cluster parameters listed above with this coupling taken into account. For that purpose we first determined the error domain, i.e. the statistically allowed parameter region, in the four dimensional parameter space. Then, evaluating the cluster parameters for all combinations of the X-ray parameters in the domain, we determined the maximum and the minimum parameter values of the domain. For the double-$\beta$ clusters, we also calculated those cluster parameters from the double $\beta$-model. The methods of calculation are similar to those shown above. The details are shown in Appendix A.

   
5.2.2 Redshift dependence of X-ray parameters

We plot the $\beta$-model parameters, and the parameters derived from those X-ray parameters as functions of redshift in Fig. 12. We show the results of double-$\beta$ model fits, and their inner and outer components are distinguished by different symbols. In the figures we also plotted the parameters taken from Mohr et al. (1999) for clusters with z < 0.1.

We do not see in those figures any clear redshift dependence in the distributions of the X-ray parameters except for the parameters related to r₅₀₀ shown in Fig. 13. We will go back to these parameters in Sect. 5.2.3 and focus on the parameters that do not involve the overdensity radius.

From Fig. 12b, we notice that the core radius shows an apparent redshift dependence. As noted in Ota & Mitsuda (2002), the core radius shows a remarkably large cluster-to-cluster dispersion, spanning over two orders of magnitude. The core radii of the irregular clusters are systematically larger than those of the regular clusters, and there seems to be a gap in the $r_{\rm c}$distribution at around 0.1 h₇₀^-1 Mpc. The regular clusters also show a similar bimodal distribution in $r_{\rm c}$ but the fraction of the larger $r_{\rm c}$ group decreases with increasing z.

To investigate the selection effect, we created simulation clusters with the Monte-Carlo method and performed the analysis on the simulation clusters. We scale the count rate of MS0906.5+1110 at z=0.18 to estimate the expected total counts for a 40 ksec observation of a cluster at z=0.5 with a typical luminosity $L_{\rm X}\sim 1\times10^{45}~{\rm erg~s^{-1}}$. The expected cluster counts are about 600 counts. We simulated a series of cluster images with various core sizes and found that the signal-to-noise ratio is quite low for clusters with large cores of $r_{\rm c} \ga 400$kpc at z>0.5. Based on the results we estimated the sensitivity of the current HRI observation to be $S_0 \sim 3.6\times10^{-3}~{\rm counts~s^{-1}~arcmin^{-2}}$. We show the sensitivity curve in Fig. 12b. Thus the redshift dependencies of the core radius can be explained by a selection effect.

Therefore we conclude that the X-ray parameters, temperature, core radius, $\beta$, and the central electron density are consistent with showing no significant trend of evolution at $z \la 0.5$.

  
5.2.3 Gas-mass fraction within r₅₀₀ and the systematic error

Although the X-ray parameters that are directly determined from observation do not show strong redshift-dependence, we find a weak redshift dependence in the overdensity radius, which approximately follows $r_{500} \propto (1+z_{\rm obs})^{-0.6}$(Fig. 13a). The dependence is likely to be introduced when we define r₅₀₀ by Eq. (8), i.e. $\bar{\rho}(r) = \Delta_{\rm c} \rho_{\rm c}(z_{\rm obs})$. In other words, the redshift dependency is introduced by the assumption, $z_{\rm col} = z_{\rm obs}$. We confirmed that such a negative dependence disappears when we assume a constant $z_{\rm col}$ independently of $z_{\rm obs}$, for example $z_{\rm col}=1$.

In Fig. 13d, we show the gas-mass fraction inside r₅₀₀determined with $z_{\rm col} = z_{\rm obs}$. We do not see a clear dependence on the redshift in our own data. We then obtain the average gas-mass fraction of our sample of 79 distant clusters to be

$$\langle f_{\rm gas}\rangle = (0.20\pm 0.07)~h_{70}^{-3/2},$$ (10)

where the quoted error is the standard deviation of the cluster-to-cluster variation. On the other hand the average gas-mass fraction of the nearby samples of Mohr et al. (1999) is $\langle f_{\rm gas}\rangle_{\rm nearby} = 0.12 \pm 0.03$ (note we recalculated the value with Eq. (8) and $\Delta _{\rm c}=500$ under the assumption of $z_{\rm col} = z_{\rm obs}$). Mohr et al. (1999) estimated their systematic errors to be ${\sim} 10$%. Although our distant sample seems to show higher $f_{\rm gas}$ values in comparison to the nearby samples, the two results are consistent with each other within their errors. If we further compare our result with the baryon density in the Universe determined by the Wilkinson Microwave Anisotropy Probe (Spergel et al. 2003), $\Omega_{\rm b}/\Omega_0=0.16$, it is again higher although they are in agreement within the errors. We will thus examine the possible systematic errors of $f_{\rm gas}$ estimation due to (1) the choice of limiting radius; (2) the calibrations of the X-ray telescope/detector systems; (3) the assumption of $z_{\rm col} = z_{\rm obs}$; and (4) the effect of the temperature gradient.

(1) We have defined the cluster limiting radius with $\Delta _{\rm c}=500$ and the resultant value is typically $r_{500}\sim 1$ Mpc for the current sample. On the other hand, the extent of the observed X-ray emission, $r_{\rm X}$, is found to be larger for most of the clusters (Fig. C.1) and $r_{\rm X}/r_{500}= 1.5$ on average. Thus we do not need to worry about the effect of extrapolation in the current $f_{\rm gas}$ estimation. The average gas-mass fraction within $r_{\rm X}$ is derived as $(0.24\pm 0.06)~h_{70}^{-3/2}$, which agrees with Eq. (10) within the errors.

(2) Since the determination of the gas-mass fraction requires absolute calibrations of the X-ray telescope/detector systems of ROSAT and ASCA, we carefully examined the calibrational errors and found that they can cause at maximum 25% errors in $f_{\rm gas}$ (see Appendix B for details).

(3) The assumption of $z_{\rm col} = z_{\rm obs}$ may be a source of uncertainty in $f_{\rm gas}$. We can infer $z_{\rm col}$ from the condition that the central mass density should be higher than the average mass density, namely $\rho_0 > \bar{\rho}(r_{500})$. Since the observed range of $\rho _0$ is ${\sim} 2\times 10^{-26} {-} 1\times10^{-23}~{\rm g~cm^{-3}}$, we obtain $z_{\rm col}\la 1.3 {-} 18$, where the smaller (larger) value corresponds to the clusters with large (small) core radii. Thus it is likely that the clusters with large $r_{\rm c}$ were formed at $z_{\rm col}\la 1.3$.

We then vary the formation redshift, $z_{\rm col}$ for which we calculate the critical density, $\rho_{\rm crit}(z_{\rm col})$ and find the radius where the measured matter density is 500 times $\rho_{\rm crit}(z_{\rm col})$. If we simply assume a fixed formation redshift for all the clusters, ranging from 0.5 to 1.5, and calculate the mean gas-mass fractions within r₅₀₀ in the same manner as Eq. (10), $\langle f_{\rm gas}\rangle$ varies from 0.18 to 0.12 with a typical standard error of 0.05. Thus the $f_{\rm gas}$ estimation largely depends on the assumption of $z_{\rm col}$. However such an effect is expected to be more serious for the low-redshift clusters, whose average gas-mass fraction was measured to be $\langle f_{\rm gas}\rangle_{\rm nearby} \sim 0.12$ (Sanderson et al. 2003; Mohr et al. 1999). Thus we may not attribute the systematic error in measuring $f_{\rm gas}$ for the distant sample to the assumption of $z_{\rm col}$.

(4) The emission-weighted temperature reflects the temperature of the cluster core region. Then, if there is a significant temperature drop at the center, it may cause an overestimation of the gas-mass fraction because the cluster hydrostatic mass estimation is more sensitive to the temperature profile than the gas mass. Such temperature drops were usually found in cluster cores with short ($\sim$a few Gyr) cooling timescales. The spectral analysis of the cooling flow clusters with the XMM-Newton and the Chandra satellites showed that the temperature drops typically by a factor of 3 over the central $r\la 200$ kpc region (e.g. Tamura et al. 2001; Schmidt et al. 2001). We then estimated the emission-weighted temperature within 1.5 Mpc (corresponding to the typical integration radius for the GIS spectra) assuming the radial temperature profile of $T(r)\propto r^{0.2}$ (from Fig. 1 of Tamura et al. 2001) and the $\beta$-model surface brightness distribution with $r_{\rm c}=50$ kpc and $\beta=2/3$ to find that it is lower by about 30% than that of the outer(r>0.1 Mpc) region. On the other hand, we obtained the mean gas-mass fraction for the 26 regular clusters with $t_{\rm cool}\leq 3$ Gyr to be $\langle f_{\rm gas}\rangle=0.22 \pm 0.08$, which is larger by 20% than that of the rest of the sample. Thereby we consider that, for at most 1/3 of the samples, $f_{\rm gas}$ may be overestimated to some extent, depending on the degree of the temperature gradient. However, considering the fact that the correlation between $f_{\rm gas}$ and $t_{\rm cool}$ is weak as well as that the ranges of $f_{\rm gas}$ for clusters with short and long cooling timescales are not very different, the effect of the temperature gradient in estimating the mean gas-mass fraction for all the samples is suggested to be not large compared to the cluster-cluster variation. For more accurate measurements of $f_{\rm gas}$, we need to constrain the temperature profiles for the individual clusters and reduce the measurement uncertainties.

5.2.4 Histograms of the X-ray parameters

Since we found no significant evolution in the X-ray parameters, we will investigate the distribution of X-ray parameters obtained from the $\beta$-model analysis without distinguishing the clusters by redshift. In Fig. 14, we show the histograms of the X-ray parameters. We find that both kT and $\beta$ are distributed in ranges smaller than 1 order of magnitude, while $r_{\rm c}$ and $n_{\rm e0}$ are distributed over almost two orders of magnitude.

Figure 14: Histograms of the X-ray parameters determined with the single $\beta$-model for 79 clusters (open). The results of the double $\beta$-model fittings for the nine double-$\beta$ clusters are superposed in the panels, where the hatched and filled regions show contributions of the inner core and the outer core, respectively.

Figure 15: Histograms of r500, M500, $M_{\rm gas}$ and $f_{\rm gas}$ derived with the single $\beta$ model for 79 clusters (open). The results of double $\beta$ clusters are superposed (hatched).

While the mean value of $r_{\rm c}$ for all the clusters is $\langle r_{\rm c} \rangle =0.163~h_{70}^{-1}$ Mpc, if we treat the regular and the irregular clusters separately, we obtain $\langle r_{\rm c} \rangle=0.076~h_{70}^{-1}$ Mpc and $\langle r_{\rm c}\rangle =0.273~h_{70}^{-1}$ Mpc for the regular and the irregular clusters (see Table 8). Thus these are different by a factor of 3. We also notice that the distributions of the irregular and regular clusters are not separated. Instead, the distribution of the regular clusters has a double-peaked structure, whose core radii corresponding to the two peaks are 50 h₇₀^-1 kpc and 200 h₇₀^-1 kpc respectively. Thus there is about a factor of four difference. The peak of the larger core radius coincides with that of the irregular clusters. One may consider that the regular clusters with a large core radius were classified as regular because the counting statistics were not very good. However, we find that the statistics of irregular and regular clusters with a large core are not very different. Thus it is difficult to explain this coincidence just by statistics. The core radius distribution when the nearby Mohr et al. (1999) samples and the our distant samples were added together was shown in Ota & Mitsuda (2002).

In Fig. 14b, we also show the distributions of the core radii of the double-$\beta$ clusters. We notice that the double-peaked structure of the core radius of the regular clusters seems related to the double-$\beta$ structure because the core radius of the smaller-core component is distributed around the lower peak of the regular-cluster core radius distribution, while the larger-core is around the higher peak.

Figure 16: Relations of the metallicity a), the bolometric luminosity b), $\beta$ c), the central electron density d), the overdensity radius e), the cluster mass f), the gas mass g), and the gas-mass fraction h) with the X-ray temperature. In all the panels the results of the single $\beta$-model fitting are plotted and the single-$\beta$ regular clusters, the single-$\beta$ irregular clusters, and the double-$\beta$ clusters are denoted with the filled circles, the open triangles, and the filled stars respectively. The horizontal and the vertical error bars are $1\sigma$. In the panels b) and e)- h), the best-fit power-laws for the entire sample are shown with the solid lines. In the panels a), c) and h) the sample means are indicated with the dashed lines. In panel  b), the best-fit L-T relations for two subgroups with $r_{\rm c}<0.1$ Mpc and $r_{\rm c}>0.1$ Mpc are indicated with the dashed and dash-dotted lines, respectively (see Sect. 6.1 for details). In panels e)- g), the slopes expected from the self-similar model are shown with the dotted lines.

In Sect. 3.5, we have shown that about 20% of regular clusters have significant double-$\beta$ structures, and for about 60% of regular clusters, the existence of a similar structure cannot be rejected. We have also shown that there are inner-core dominant and outer-core dominant cases and that a single $\beta$-model fit picks up the core radius of the dominant core (Fig. 9). Thus we consider that the correspondence between the core radius distribution of all the regular clusters and the distribution of double-$\beta$ clusters is not just a coincidence but that it is related to the double core nature of the regular clusters.

The electron density, the dark matter density and the cooling time at the cluster center show similar double-peaked distributions. On the other hand, as shown in Fig. 15, r₅₀₀ and the other three parameters evaluated within r₅₀₀ are distributed in ranges smaller than 1 order of magnitude. We will discuss the correlations between the parameters in the next section in more detail. We list the mean and the standard deviation for all the parameters in Table 8.

 

 

Table 9: Scaling relations for the distant clusters.

	$\Omega_{\rm M} = 0.3, \Omega_{\Lambda}=0.7$, $z_{\rm col} = z_{\rm obs}$
Relation	$\Delta _{\rm c}=500$	$\Delta _{\rm c}=500\Omega ^{0.427}$	$\Delta_{\rm c}=18\pi^2\Omega^{0.427}$
$L_{\rm X,bol}-T$	$6.53^{+8.34}_{-3.82}\times10^{42} (kT)^{3.08^{+0.48}_{-0.45}}$	$7.94^{+8.92}_{-4.58}\times 10^{42}(kT)^{3.01^{+0.47}_{-0.42}}$	$1.07^{+1.26}_{-0.55}\times 10^{43}(kT)^{2.92^{+0.40}_{-0.43}}$
M-T	$1.64^{+0.35}_{-0.26}\times10^{13} (kT)^{1.68^{+0.10}_{-0.11}}$	$2.07^{+0.35}_{-0.43}\times 10^{13}(kT)^{1.68^{+0.13}_{-0.08}}$	$3.31^{+0.73}_{-0.60}\times 10^{13}(kT)^{1.69^{+0.11}_{-0.11}}$
$M_{\rm gas}-T$	$2.88^{+0.93}_{-0.64}\times10^{12} (kT)^{1.85^{+0.14}_{-0.15}}$	$4.32^{+1.28}_{-0.89}\times 10^{12}(kT)^{1.80^{+0.13}_{-0.15}}$	$1.10^{+0.29}_{-0.25}\times 10^{13}(kT)^{1.67^{+0.15}_{-0.13}}$
$f_{\rm gas}-T$	0.28+0.09-0.06(kT)-0.08+0.14-0.14	0.33+0.10-0.08(kT)-0.11+0.15-0.15	0.47+0.16-0.15(kT)-0.19+0.20-0.16
$E_z^{-1}L_{\rm X,bol}-T$	$5.50^{+7.92}_{-3.24}\times10^{42} (kT)^{3.12^{+0.51}_{-0.48}}$	$7.24^{+9.15}_{-4.04}\times 10^{42}(kT)^{3.00^{+0.45}_{-0.45}}$	$1.01^{+0.99}_{-0.55}\times 10^{43}(kT)^{2.89^{+0.43}_{-0.39}}$
EzM-T	$1.73^{+0.36}_{-0.32}\times10^{13} (kT)^{1.71^{+0.11}_{-0.10}}$	$2.11^{+0.45}_{-0.37}\times 10^{13}(kT)^{1.73^{+0.11}_{-0.11}}$	$3.51^{+0.75}_{-0.62}\times 10^{13}(kT)^{1.71^{+0.11}_{-0.10}}$
$E_zM_{\rm gas}-T$	$3.05^{+0.94}_{-0.72}\times10^{12} (kT)^{1.88^{+0.15}_{-0.15}}$	$4.62^{+1.18}_{-1.04}\times 10^{12}(kT)^{1.82^{+0.15}_{-0.12}}$	$1.19^{+0.30}_{-0.28}\times 10^{13}(kT)^{1.68^{+0.15}_{-0.12}}$

  
6 Correlations between cluster parameters

We investigate correlations of various cluster parameters with the X-ray temperature, kT in Sect. 6.1 and also with the core radius, $r_{\rm c}$ in Sect. 6.2, which showed the distinct double-peaked distribution and thus may provide a clue to understand the structures of clusters. Possible systematic errors will be considered in each subsection.

In the following analysis, we first calculate the Pearson's correlation coefficient, $R_{XY}=\sum_i (X_i - \bar{X})\sum_i (Y_i - \bar{Y})/\!\sqrt{\sum_i (X_i - \bar{X})^2}\sqrt{\sum_i (Y_i - \bar{Y})^2}$, to measure the strength of the correlation. We take the logarithm of the two measured parameters, x and y, namely $X=\log x$ and $Y=\log y$, except for the case of the Z-T and the $\beta-T$ relations. Then if $\vert R_{XY}\vert \ge 0.3$, we derive the best-fit relation between the two parameters assuming the power-law function. In order to take into account the statistical uncertainties of both the x and y axes, we performed the $\chi ^2$ minimization in the linear (Y=aX+b) fit by defining $\chi^2\equiv \sum_{i} (Y_i- (a X_i + b))^2/(a\sigma_{X,i}^2+\sigma_{Y,i}^2)$, where $\sigma_{X,i}$ and $\sigma_{Y,i}$ are the $1\sigma$ errors for the parameter X_i and Y_i, respectively. Because in all the cases below the fits were not statistically acceptable due to large scatters of the data at the 90% confidence level, the error ranges of the coefficients a and b were estimated from the dispersions of the data points around the model functions rather than the photon statistics. We excluded two irregular clusters, #43 A1758 and #79 MS1054.5-0321, in the analysis except for the Z-T and the $L_{\rm X,bol}-T$ relations because their $\beta$-model parameters were not well constrained (Sect. 3.4), although they are plotted in Figs. 16 and 18. We then compare some of the resulting relations with the predictions of the self-similar model.

  
6.1 Correlations with the gas temperature

In Figs. 16a-h, we show eight parameters derived from the spectral and the image analysis, the gas mass, and the gas-mass fraction etc. as a function of X-ray temperature. We mainly show the relations derived for $\Delta _{\rm c}=500$ below. In Table 7, we show the cluster parameters of the individual clusters for the overdensities of $\Delta _{\rm c}=500\Omega ^{0.427}$ and $18\pi ^2\Omega ^{0.427}$ (Nakamura & Suto 1997) and in Table 9 the scaling relations with and without consideration of the cosmological factor, E_z=H_z/H₀ as noted by Ettori et al. (2004). Since we did not find any strong redshift evolution in the observed X-ray properties, we first derive the parameter correlations regardless of their redshifts. We will discuss the correlations in the case where we take into account the sample redshifts later. Note that kT and $r_{\rm c}$ are in units of [keV] and [ h₇₀^-1 Mpc], respectively.

• Z-T
  In Fig. 16a, there seems to be a slight decline of the metallicity, Z, against the temperature, however, we found the correlation coefficient, R_XY to be -0.23 for 78 clusters, where #66 CL0024+17 was not used in the fit because Z was so uncertain that the value was fixed at 0.3 solar in the spectral fitting (Soucail et al. 2000). Thus there is no clear Z-T correlation. This is consistent with the previous results on the metallicity measurements for 21 clusters reported by Mushotzky & Loewenstein (1997). We thus indicate the mean metallicity of our sample, $\langle Z\rangle=0.29$, with the dotted line in the figure (see also Table 8).

• $L_{\rm X,bol}-T$
  We find a significant correlation between the bolometric luminosity and the temperature, and R_XY is 0.59 for 77 samples. Note that #56 CL0500-24 and #66 CL0024+17 are not included in order to avoid the systematic difference in the integration radius for the spectra because the only SIS spectral data were used for these two clusters due to the serious contamination from the point sources in the vicinity of the clusters (see Sect. 4). We thus obtain the temperature-luminosity relation for the 77 clusters to be
  

  $$L_{\rm X,bol}~{\rm\left[erg~s^{-1}\right]} = 6.53^{+8.34}_{-3.82}\times10^{42} (kT)^{3.08^{+0.48}_{-0.45}}.$$ (11)

  
  
  $\chi^2/{\rm d.o.f.}=1703/75$. As a result, the slope of the relation is consistent with those previously published for the nearby clusters (e.g. Markevitch 1998; Arnaud & Evrard 1999). However, if compared to the relation for higher redshift clusters by Ettori et al. (2004), they showed a steeper slope of $3.72\pm0.47$($1\sigma$ error).

  The large error in the normalization factor in Eq. (11) is affected by the intrinsic scatter around the best-fit relation. We found from Fig. 16b that the normalization factors of the $L_{\rm X,bol}-T$ relation are significantly different between the regular and the irregular clusters: for a fixed temperature, the regular clusters tend to have a larger luminosity in comparison to the irregular clusters. The difference becomes more evident if we divide the sample into two subgroups according to the core radius ranges of $r_{\rm c} < 0.1~h_{70}^{-1}$ Mpc and $r_{\rm c} > 0.1~h_{70}^{-1}$ Mpc (see also Ota & Mitsuda 2002). If we fit them separately, fixing the slope at the best-fit value of 3.08, we obtain
  

  $$L_{\rm X,bol}~{\rm\left[erg~s^{-1}\right]} = 9.12^{+1.02}_{-0.92}\times10^{42} (kT)^{3.08}~{\rm for}~r_{\rm c} \leq0.1,$$ (12)

  $$L_{\rm X,bol}~{\rm\left[erg~s^{-1}\right]}= 3.98^{+0.22}_{-0.21}\times10^{42} (kT)^{3.08}~{\rm for}~r_{\rm c} >0.1,$$ (13)

  
  
  and $\chi^2/{\rm d.o.f.}=810.9/38$ and 199.4/37, respectively. Thus the normalization factor for the small core clusters is larger than that for the large core clusters at the $10\sigma$ significance level.

• $\beta-T$
  There seems to be a trend of larger $\beta$ values for higher temperatures, as previously noted by Schindler (1999). However R_XY=0.27 for 77 clusters, hence the correlation is not clear.

• $n_{\rm e0}-T$
  We see from Fig. 16d that there is a significant scatter of the central electron density, $n_{\rm e0}$. We obtained R_XY=-0.28 and thus the correlation is not clear from the data. On the other hand, we notice $n_{\rm e0}$ is strongly correlated with the parameter $r_{\rm c}$, which will be discussed in the next subsection in more detail.

• r₅₀₀-T
  A strong correlation between the overdensity radius and the temperature is found ( R_XY=0.82), whose best-fit relation is:
  

  $$r_{\rm 500}~\left[h_{70}^{-1}{\rm Mpc}\right] = 0.38^{+0.03}_{-0.02}(kT)^{0.53^{+0.04}_{-0.04}},$$ (14)

  
  
  and $\chi^2/{\rm d.o.f.}$ is 151.2/75. The power-law slope of $0.53\pm0.04$ is consistent with the value predicted from the self-similar model, 0.5, within the error range.

• M₅₀₀-T
  There is a tight correlation between the cluster mass and the temperature ( R_XY=0.88). The best-fit relation is
  

  $$M_{500}~\left[h_{70}^{-1}~{M_{\odot}}\right] =1.64^{+0.35}_{-0.26}\times10^{13} (kT)^{1.68^{+0.10}_{-0.11}},$$ (15)

  
  
  and $\chi^2/{\rm d.o.f.}$ is 206.5/75. The slope of 1.68^+0.10_-0.11 is slightly steeper than that expected from the self-similar relation, i.e. $M_{500}\propto T^{1.5}$. However, from Fig. 16f, we consider that the degree of the departure from the self-similar relation is marginal if compared to the typical size of the statistical error bars of the data points.

  We compare the M₅₀₀-T relation with those derived for two samples of nearby clusters (Table 1 of Finoguenov et al. 2001). Because they calculated it under a different cosmology: $\Omega_0=1$ and $H_0=50~{\rm km~s^{-1}~Mpc^{-1}}$, we calculate the relation using the same set of cosmological parameters and obtain $M_{500}= 2.04^{+0.37}_{-0.38}\times10^{13} (kT)^{1.65^{+0.11}_{-0.09}}$ for the distant clusters. In comparison to their flux-limited sample (HIFLUGCS) and the sample with temperature profiles, the slope is in a good agreement within the errors but it should be noted that the best-fit normalization is about 30% smaller for the distant sample. This may be attributed to the significant redshift dependency of the critical density and will be worth further investigation in the light of the cluster formation redshift.

  We also showed the E_z M-T relation calculated for $\Delta _{\rm c}=500\Omega ^{0.427}$ in Table 9. The result is within a range consistent with the relation for z>0.4(Ettori et al. 2004).

• $M_{\rm gas}-T$
  The gas mass within r₅₀₀, $M_{\rm gas}$, is strongly correlated to the temperature ( R_XY=0.61). The fitting gives
  

  $$M_{\rm gas}~\left[h_{70}^{-5/2}{~M_{\odot}}\right] =2.88^{+0.93}_{-0.64}\times10^{12} (kT)^{1.85^{+0.14}_{-0.15}},$$ (16)

  
  
  and $\chi^2/{\rm d.o.f.}$ is 548.1/75. Taking into account the current statistical errors, we found a marginal steepening of the relation in comparison to that predicted from the self-similar model, $M_{\rm gas}\propto T^{1.5}$ (see Fig. 16g). The measured slope is also found to be consistent with that of the M₅₀₀-T relation derived above within their errors.

  For nearby clusters, Mohr et al. (1999) obtained the relation to be $M_{\rm gas}= (1.49\pm0.09)\times10^{14} (kT/6~{\rm keV})^{1.98\pm0.18}$ under $\Omega_0=1$ and $H_0=50~{\rm km~s^{-1}~Mpc^{-1}}$, which is significantly steeper than the theoretically expected slope of 1.5. On the other hand, Vikhlinin et al. (1999) reported based on the ROSAT PSPC data analysis of nearby regular clusters, a flatter relation in the form of $M_{\rm gas}\propto T^{1.71\pm0.13}$, utilizing a different method in determining the limiting radius (they defined the baryon overdensity radius of R₁₀₀₀, corresponding to the dark matter overdensity of ${\sim} 500$).

  If we calculate the distant $M_{\rm gas}-T$ relation within r₅₀₀using the same set of cosmological parameters, $M_{\rm gas}= 4.57^{+1.58}_{-1.17}\times10^{12} (kT)^{1.86^{+0.16}_{-0.16}}$. The relation is slightly flatter than that derived by Mohr et al. (1999) but within a range consistent with the result of either Mohr et al. (1999) or Vikhlinin et al. (1999) under the current measurement errors.

  As shown above, although the relation within r₅₀₀ obtained for our distant sample is consistent with the local relations, it is found to be less steep than that found for z>0.4, $E_zM_{\rm gas}\propto T^{2.37\pm0.17}$ (Ettori et al. 2004), which is not conflict with the view that the lower redshift clusters contain more gas for a fixed temperature, as pointed by Ettori et al. (2004).

• $f_{\rm gas}-T$
  We obtained a small correlation coefficient, R_XY=-0.34. The power-law fitting resulted in
  

  $$f_{\rm gas}~\left[h_{70}^{-3/2}\right] = 0.28^{+0.09}_{-0.06}(kT)^{-0.08^{+0.14}_{-0.14}},$$ (17)

  
  
  and $\chi^2/{\rm d.o.f.}=349.8/75$. Because the resultant slope includes 0 within the error, we conclude that there is not a significant temperature dependence in the distant sample. Thus we show the mean gas-mass fraction of the sample, $\langle f_{\rm gas}\rangle=0.20$, in Fig. 16h.

In the above analysis, we have not included the effect of the cluster redshift. However, because a weak redshift dependence is seen in the overdensity radius, which is $r_{500} \propto (1+z_{\rm obs})^{-0.6}$(see Sect. 5.2.3), we checked how the parameter correlations in Eqs. (14)-(17) will be changed if we divide the sample into the low-z ( $0.1<z\leq 0.3$) and the high-z ( 0.3<z<0.82) subsamples. As a result, there are no significant changes in the scaling relations compared to Eqs. (14)-(17) except that the $M_{\rm gas}-T$ for the high-z subsample resulted in a marginally steeper slope of $M_{\rm gas}=5.4^{+11.2}_{-4.0}\times10^{11} (kT)^{2.67^{+0.70}_{-0.58}}$ ( $\chi^2/{\rm d.o.f.}=170.2/30$). In order to place firmer constraints on the scaling relations, we suggest that it is important to gather more observational data with higher sensitivities and also reexamine the assumption of the isothermal gas distribution and the formation redshift, $z_{\rm col}$ as already pointed out in Sect. 5.2.3.

  
6.2 Correlations with the core radius

Figure 17: Venn diagrams which illustrate the relation between the X-ray morphology and the optical morphology a) and the X-ray core radius and the optical morphology b) (see Sect. 6.2 for definition of the cD cluster). In the panel b), we divided the sample into three subgroups: small core ( $r_{\rm c}<0.1$ Mpc) single-$\beta$, double-$\beta$, and large core ( $r_{\rm c}>0.1$ Mpc) single-$\beta$ clusters.

Figure 18: Relations of $\beta$ a), the central electron density b), the cooling timescale c), the temperature d), and the overdensity radius e) with the core radius. The meanings of the symbols are the same as Fig. 16. The error bars are $1\sigma$. In the panels a)- e) the best-fit power-laws obtained for 77 distant clusters are shown with the solid lines. In the panels b) and c), the best-fit power-laws for $\log r_{\rm c}\leq -1$ and $\log r_{\rm c} >-1$ are also shown with the dashed lines and the dot-dash lines, respectively. In the panel e) four dotted lines correspond to four different constant values of $r_{500}/r_{\rm c}$.

• (Optical morphology) $-r_{\rm c}$
  First we investigate the relation to the optical morphology of the clusters. Some clusters contain a central dominant elliptical galaxy, i.e. a cD galaxy. We refer to such clusters classified as Bautz-Morgan types I and I-II as "cD clusters''. We looked up the BM types of our sample clusters in the NED database and showed the relation between X-ray morphology and the BM type, and the core radius and the BM type in Figs. 17a and 17b respectively. In Fig. 17b we divided the clusters into three subgroups: the small core single-$\beta$, the large core single-$\beta$ and the double-$\beta$ clusters. We find that all the cD clusters are regular clusters and the clusters with a small core (i.e. small core single-$\beta$ + double-$\beta$) tend to contain a cD galaxy. However, not all the small core clusters have cD galaxies, and the fraction having a cD galaxy is 36% (5 of 14). Therefore it is not a simple one-to-one correspondence. In nearby clusters, the typical X-ray core radius of cD galaxy is measured to be ${\sim} 10$ kpc (Ikebe et al. 1999) and is significantly smaller than 50 kpc. Thus it is unlikely that the small core represents the potential distribution of the cD galaxy itself, though some connection may be possible. At present, however, the data of the optical morphology is available for only 47% of the sample. Thus in order to clarify the correlation between the central galaxy and the formation of the small core, we need to collect more optical data. Though the above discussion was based on the BM-type classification, we suggest that it is also meaningful to take into account the existence of giant ellipticals at the cluster center.

• $\beta-r_{\rm c}$
  There is a weak trend of larger $\beta$ for larger $r_{\rm c}$( R_XY=0.62). The fit yields
  

  $$\beta = 0.73^{+0.07}_{-0.05}r_{\rm c}^{0.11^{+0.03}_{-0.02}},$$ (18)

  
  
  and $\chi^2/{\rm d.o.f.}$ is 711.1/75. However the fit is not statistically acceptable due to the huge $\chi ^2$ value. Regarding this, we have to be careful about the parameter coupling in the $\beta$ model fitting because the correlation seems to follow the direction of the coupling (Fig. 5). This occurs noticeably at $r_{\rm c}\ga 0.1$ Mpc. The correlation is strong for the large core clusters with $r_{\rm c}>0.1$ Mpc ( R_XY=0.72) while it is weak ( R_XY=0.09) for the small core clusters with $r_{\rm c}<0.1$ Mpc. In addition, all the clusters that exhibit extremely large core radii ( $r_{\rm c} \ga 0.4$ Mpc) are irregular clusters and their surface brightness distributions are highly inhomogeneous or bimodal (Fig. C.1). Accordingly the current spherical $\beta$-model can cause the tight $\beta-r_{\rm c}$ coupling particularly for the irregular systems.

• $n_{\rm e0}-r_{\rm c}$
  As is clear from Fig. 14c, the central electron density,  $n_{\rm e0}$, has a double-peaked distribution, similar to $r_{\rm c}$. We see from Fig. 18b that there is a strong correlation between  $n_{\rm e0}$ and $r_{\rm c}$. The correlation coefficient is R_XY=-0.85 for 77 clusters. From the $\chi ^2$fitting, we obtain
  

  $$n_{\rm e0}~\left[h_{70}^{1/2}~{\rm cm^{-3}}\right] = 0.89^{+0.30}_{-0.23}\times 10^{-3}r_{\rm c}^{-1.29^{+0.10}_{-0.11}}.$$ (19)

  
  
  $\chi^2/{\rm d.o.f.}$ is 1185/75. We also find that the slope tends to be steeper for the small $r_{\rm c}$clusters: if we fit the data points for two different $r_{\rm c}$ ranges separately, we obtain
  

  $$n_{\rm e0}\!\!~\left[h_{70}^{1/2}~{\rm cm^{-3}}\right] = 0.13^{+0... ...}\times 10^{-3}r_{\rm c}^{-1.87^{+0.41}_{-0.37}} ~{\rm for}~r_{\rm c} \leq 0.1,$$ (20)

  $$n_{\rm e0}\!\!~\left[h_{70}^{1/2}~{\rm cm^{-3}}\right] = 1.32^{+1... ....83}\times 10^{-3}r_{\rm c}^{-1.10^{+0.43}_{-0.66}} ~{\rm for}~r_{\rm c} > 0.1.$$ (21)

  
  
  $\chi^2/{\rm d.o.f.}$ are 650.3/39 and 373.4/34, respectively. Thus the gas distribution in clusters with $r_{\rm c}\leq 0.1$ Mpc is concentrated more than expected from the relation for clusters with $r_{\rm c}>0.1$Mpc. This may suggest that the small core and the large core components have different physical natures and/or they are at different stages of evolution.

• $t_{\rm cool}-r_{\rm c}$
  According to Figs. 12e and 18c, $t_{\rm cool}$ is significantly shorter than the age of the Universe for the small core clusters and then the radiative cooling is suggested to be important. We find a very tight correlation between $t_{\rm cool}$ and $r_{\rm c}$ ( R_XY=0.87 for 77 clusters). The $t_{\rm cool}-r_{\rm c}$ relations are derived to be
  

  $$t_{\rm cool}~{\rm [yr]} = 9.55^{+2.23}_{-2.07}\times 10^{10}r_{\rm c}^{1.31^{+0.08}_{-0.09}} ~{\rm for~77~clusters},$$ (22)

  $$t_{\rm cool}~{\rm [yr]} = 31.6^{+51.1}_{-20.4}\times 10^{10}r_{\rm c}^{1.68^{+0.29}_{-0.32}} ~{\rm for}~r_{\rm c} \leq 0.1,$$ (23)

  $$t_{\rm cool}~{\rm [yr]} = 3.63^{+1.21}_{-0.91}\times 10^{10}r_{\rm c}^{0.70^{+0.18}_{-0.18}} ~{\rm for}~r_{\rm c} > 0.1.$$ (24)

  
  
  $\chi^2/{\rm d.o.f.}$ are 690.0/75, 402.4/39 and 175.9/34, respectively. Thus one possible interpretation of the small core may be that the small core radius does not reflect the shape of the gravitational potential but that it reflects the cooling radius inside which the X-ray emission is enhanced. However we consider this is unlikely for the following reasons. If the small core radius reflects the cooling radius, it should evolve with time. However we do not find a strong redshift dependence in the core radius. Moreover we estimated the cooling radius at which the cooling time of the gas becomes equal to $t_{\rm age}$ to find it is larger than 50 kpc for most of the small core clusters.

• $T-r_{\rm c}$
  Furthermore, as shown in Fig. 18d, we find that the temperature does not show a clear core radius dependence. We obtained a moderate correlation coefficient, R_XY=0.45. The best-fit relation is derived as
  

  $$kT =13.7^{+2.6}_{-2.5}r_{\rm c}^{0.30^{+0.05}_{-0.07}},$$ (25)

  
  
  however, the power-law fit was quite poor ( $\chi^2/{\rm d.o.f.}=2228/75$). Since the emission-weighted temperature reflects the temperature of the cluster core region, the apparent lack of any strong $T-r_{\rm c}$ correlation suggests that the temperature gradient in the cooling region is not very large. This is consistent with the results from the XMM-Newton observations, which revealed that the temperature gradient of nearby cooling-flow clusters is smaller than that expected from the standard cooling flow model (e.g. Tamura et al. 2001). Peterson et al. (2003) noted that there is a significant deficit of emission with temperature lower than T₀/3 (T₀ is the ambient temperature) in the RGS spectra. Given that the temperature profile obeys $T(r)\propto r^{0.2}$, the second term in Eq. (4) is negligible compared to the first term at $r\ga0.3r_{\rm c}$ for $\beta=2/3$. Thus except for the central $r\la 0.3 r_{\rm c}$ region, the cluster mass profile can be approximated with the assumption of a constant temperature, suggesting the gas density profile obtained from the current isothermal $\beta$-model analysis reflects the underlying cluster potential distribution. We further investigate the relation between r₅₀₀and the core radius below.

• $r_{500}-r_{\rm c}$
  Since the overdensity radius is determined almost independently from $r_{\rm c}$ and approximately $r_{500}\propto T^{1/2}$, the above results indicate that correlation between r₅₀₀ and $r_{\rm c}$ is much weaker than the expectations of the self-similar model. It is clear from Fig. 18e that the distribution of the data points are inconsistent with the curves of $r_{\rm 500}/r_{\rm c}={\rm constant}$. The observed range of $r_{\rm 500}/r_{\rm c}$ is about 2-40. The correlation coefficient is R_XY=0.58 for 77 clusters. Then the $\chi ^2$ fitting gives
  

  $$r_{500}~\left[h_{70}^{-1}~{\rm Mpc}\right] = 1.51^{+0.16}_{-0.17}r_{\rm c}^{0.15^{+0.03}_{-0.04}} ~{\rm for~77~clusters},$$ (26)

  
  
  and $\chi^2/{\rm d.o.f.}=954.5/75$. We notice that the observed distribution on the $r_{500}-r_{\rm c}$ plane is much flatter than the curves for constant $r_{500}/r_{\rm c}$ values or it is rather concentrated around the two peak values of $r_{\rm c}$. The departure from the self-similar relation is more prominent for small core clusters with $r_{\rm c}<0.1$ Mpc. The correlation coefficients are R_XY=0.21 and 0.36 for $r_{\rm c}\le0.1$ and $r_{\rm c}>0.1$, respectively. Thus for the large core clusters, the best-fit power-law relation is
  

  $$r_{500}~\left[h_{70}^{-1}~{\rm Mpc}\right] = 2.06^{+0.42}_{-0.33}r_{\rm c}^{0.37^{+0.12}_{-0.11}} ~{\rm for}~r_{\rm c} > 0.1,$$ (27)

  
  
  and $\chi^2/{\rm d.o.f.}$ is 108.0/34. If we further restrict $r_{\rm c}$to a very narrow range of 0.1-0.2 Mpc, we find a steeper slope of $r_{500}=4.03^{+3.22}_{-1.52}r_{\rm c}^{0.71^{+0.30}_{-0.26}}$( $\chi^2/{\rm d.o.f.}=21.2/18$). Thus those twenty clusters may satisfy the self-similar condition, $r_{500}\propto r_{\rm c}$. However, we suggest from Eqs. (26) and (27) that it is difficult to explain the formation of the cores, particularly for the small core clusters, by the standard picture of the self-similar model.

6.3 Implications on the origin of two core scales

From the above discussion, it seems difficult to explain the small core size that we discovered in the histogram either by the potential structure of the cD galaxy or the cooling radius. As long as we rely on the hydrostatic assumption and the $\beta$ model, the X-ray surface brightness distributions are likely to represent the gravitational potential structures of the clusters. If this is the case, the double-$\beta$ nature of the X-ray emission profile reflects the shape of the gravitational potential of the dark matter, which is likely to have two preferable scales of ${\sim} 50$ kpc and ${\sim} 200$ kpc.

In an effort to constrain the physical status of ICM in the dark matter potential, comparing the high-resolution X-ray observations to gravitational lensing observations will provide another powerful test (e.g. Hattori et al. 1997). Thanks to the improvement of spatial resolution achieved by Chandra, now measurements on the cluster mass profile down to $\la$5 kpc scale are possible at such high redshifts ($z\sim 0.3$) and several authors have measured the dark matter distribution in the lensing clusters under the hydrostatic hypothesis (e.g. Ota et al. 2004; Xue & Wu 2002; Arabadjis et al. 2002). For example, Ota et al. (2004) showed from the high-resolution Chandra data of CL0024+17 (z=0.395) and the comparison with the detailed lens modeling by Tyson et al. (1998) that the cluster density profile is well reproduced by the double-$\beta$ model and the inner core also reflects the underlying dark matter potential. They also noted that the core structure may be related to the past merging event as inferred from the optical observations (Czoske et al. 2001,2002).

Recently Hayakawa et al. (2004) estimated the dark matter distribution in a nearby non-cD, regular cluster, Abell 1060, from the Chandra data analysis, without explicitly using the double $\beta$-model, and found a central mass concentration at r< 50 kpc. Their result also supports the idea that dark matter may preferentially be accumulated within a radius of ${\sim} 50$ kpc. On the other hand, Ettori et al. (2004) suggested that no significant double structure is seen in the high redshift sample. Thus considering from the above, the double-$\beta$ nature of the ICM discovered in the present sample may be much related to the history of the past merging and the relaxation process. The small core component might be attributed to the presence of dark matter subhalos due to the cluster mergers or the internal structures in clusters (e.g. Fujita et al. 2002).

Furthermore, since there is clearly a tight coupling between the core radius and the radiative cooling time as shown in Sect. 6.2, the detailed treatment of the thermal evolution of the ICM will also be important. A number of numerical simulations including non-gravitational effects such as radiative cooling and galaxy feedback have been carried out and thus provide a clue to the underlying physics in the cluster core regions. However, the authors pointed out difficulties in regulating the central over-cooling and produce a constant-density core (e.g. Pearce et al. 2000). Masai & Kitayama (2004) recently proposed a quasi-hydrostatic model, which predicts a characteristic temperature profile with an asymptotic temperature for the central region being ${\sim}1/3$ of the non-cooling outer region, as observed in nearby "cooling flow'' clusters. Thus detailed comparison of the X-ray data with their model regarding the temperature and density profiles will be important to understand the evolution of the ICM structure. We need further investigations to put a stronger constraint on the origin of the double nature of the cluster structures, which is however beyond the scope of the present paper and will be discussed in a separate paper.

  
7 Summary

We have analyzed the ROSAT HRI and the ASCA GIS/SIS data of 79 clusters of galaxies at redshifts of 0.1-0.82 in a uniform manner. We determined the X-ray surface brightness profile from the ROSAT HRI data utilizing the $\beta$-model and the average temperature and the luminosity from the ASCA data. We found that the clusters can be divided into two subgroups, regular and irregular clusters, from analysis to determine the centroid position of the X-ray image. We then performed a statistical study of the X-ray parameters and investigated the trends for redshift evolution and the scaling relations against temperature and core radius. The major results are summarized as follows.

1.

We did not find significant redshift evolution in the X-ray parameters of clusters compared to the nearby clusters: the temperature kT, the core radius $r_{\rm c}$, $\beta$, and the central electron density $n_{\rm e0}$ at $z \la 0.5$.

2.

Among the X-ray parameters, the core radius shows the largest cluster-to-cluster variation. The core-radius distribution shows two distinct peaks at 50 kpc and 200 kpc. For 20% of the regular clusters, inclusion of a second $\beta$-model component significantly improved the $\chi ^2$ values of the surface-brightness fitting. We find that the two core radii of the double $\beta$-model are distributed in relatively narrow ranges consistent with the two peaks of the single-$\beta$ clusters. There is no significant evolution in the fraction of double-$\beta$ clusters within the observed redshift range.

3.

We investigated the correlations between the temperature and the cluster parameters including the spectral and the $\beta$-model parameters, the cluster mass, the gas mass and the gas-mass fraction etc. For the M₅₀₀-T relation, we found that the power-law slope of 1.68^+0.10_-0.11 is marginally steeper than that expected from the self-similar model but in a good agreement with the results for the nearby clusters, while the normalization factor is about 30% smaller for the current distant sample compared to the nearby sample. We obtained the $M_{\rm gas}-T$ relation to be $M_{\rm gas}\propto (kT)^{1.86^{+0.16}_{-0.16}}$ for the overdensity of $\Delta _{\rm c}=500$ and found a marginal steepening of the relation in comparison to the self-similar model under the current statistics. The $f_{\rm gas}-T$ relation is found to be consistent with having no correlation with the temperature.

4.

We studied the parameter correlations against the core radius. We found that only 36% of the small core single-$\beta$ and the double-$\beta$ clusters are cD clusters and thus it seems difficult to explain the presence of the small core by the cD potential itself although there may be some causal link. There are strong $n_{\rm e0}-r_{\rm c}$ and $t_{\rm cool}-r_{\rm c}$ correlations and the slopes tend to become steeper for $r_{\rm c} \la 0.1$ Mpc. On the other hand the fact that there is not a clear $T-r_{\rm c}$ correlation suggests that the temperature gradient is not large even in clusters with short cooling timescales, which is consistent with the XMM-Newton and Chandra observations of the nearby clusters. Thus as long as we rely on the hydrostatic condition and the $\beta$-model, our result indicates that the dark matter distribution is likely to show two preferable scales of 50 kpc and 200 kpc.

5.

We showed that the $r_{500}-r_{\rm c}$ relation derived from the X-ray analysis does not agree with the expectations of the self-similar model, suggesting that the assumption of self-similarity is not valid in describing the density profile of the ICM, particularly for clusters with small core radius.

6.

We obtained the average gas-mass fraction within r₅₀₀ to be $\langle f_{\rm gas}\rangle = (0.20\pm 0.07)~h_{70}^{-3/2}$ for the distant sample. The calibrational error is estimated to be about 25%. The current estimation is based on some simplified assumptions (for example, the isothermal gas distribution), which will be refined in future studies.

Acknowledgements

We are grateful to S. Sasaki, T. Kitayama and K. Masai for their helpful comments and discussions. N.O. is supported by a Research Fellowship for Young Scientists from the JSPS. This research has made use of the ROSAT HRI data obtained through the ROSAT Data Archive of MPE at Garching, Germany and the ASCA data through the DARTS Online Service provided by ISAS (ISAS/JAXA) and the HEASARC Online Service provided by NASA/Goddard Space Flight Center. We also thank the anonymous referee for helpful comments.

References

 
• Allen, S. W. 1998, MNRAS, 296, 392
   
• Arabadjis, J. S., Bautz, M. W., & Garmire, G. P. 2002, ApJ, 572, 66
   
• Arnaud, K. A. 1996, ASP Conf. Ser., 101, Astronomical Data Analysis Software and Systems V, 5, 17
   
• Arnaud, M., & Evrard, A. E. 1999, MNRAS, 305, 631
   
• The ASCA Data Reduction Guide 2002, ASCA Guest Observer Facility (http://heasarc.gsfc.nasa.gov/docs/asca/abc/abc.html)
   
• Briel, U. G., et al. 1997, The ROSAT User's Handbook, (http://wave.xray.mpe.mpg.de/rosat/doc/ruh)
   
• Cavaliere, A., & Fusco-Femiano, R. 1976, A&A, 49, 137
   
• Cavaliere, A., Menci, N., & Tozzi, P. 1997, ApJ, 484, L21
   
• Chartas, G., Bautz, M., Garmire, G., Jones, C., & Schneider, D. P. 2001, ApJ, 550, L163
   
• Czoske, O., Kneib, J.-P., Soucail, G., et al. 2001, A&A, 372, 391
   
• Czoske, O., Moore, B., Kneib, J.-P., & Soucail, G. 2002, A&A, 386, 31
   
• David, L. P., Slyz, A., Jones, C., et al. 1993, ApJ, 412, 479
   
• Edge, A. C., Stewart, G. C., Fabian, A. C., & Arnaud, K. A. 1990, MNRAS, 245, 559
   
• Ettori, S., & Fabian, A. C. 1999, MNRAS, 305, 834
   
• Ettori, S., Tozzi, P., Borgani, S., & Rosati, P. 2004, A&A, 417, 13
   
• Evrard, A. E., & Henry, J. P. 1991, ApJ, 383, 95
   
• Evrard, A. E., Metzler, C. A., & Navarro, J. F. 1996, ApJ, 469, 494
   
• Finoguenov, A., Reiprich, T. H., & Böhringer, H. 2001, A&A, 368, 749
   
• Fujita, Y., Sarazin, C. L., Nagashima, M., & Yano, Y. 2002, ApJ, 577, 11
   
• Hashimotodani, K. 1999, Ph.D. Dissertation, Osaka University
   
• Hattori, M., Ikebe, Y., Asaoka, I., et al. 1997, Nature, 388, 146
   
• Hattori, M., Kneib, J.-P., & Makino, N. 1999, Prog. Theor. Phys. Suppl., 133, 1
   
• Hayakawa, A., Furusho, T., Yamasaki, N.Y., Ishida, M., & Ohashi, T., PASJ, submitted
   
• Ikebe, Y., Makishima, K., Fukazawa, Y., et al. 1999, ApJ, 525, 58
   
• Jones, C., & Forman, W. 1984, ApJ, 276, 38
   
• Kaiser, N. 1986, MNRAS, 222, 323
   
• Lewis, A. D., Ellingson, E., Morris, S. L., & Carlberg, R. G. 1999, ApJ, 517, 587
   
• Masai, K., & Kitayama, T. 2004, A&A, 421, 815
   
• Markevitch, M. 1998, ApJ, 504, 27
   
• Mohr, J. J., Fabricant, D. G., & Geller, M. J. 1993, ApJ, 413, 492
   
• Mohr, J. J., Mathiesen, B., & Evrard, A. E. 1999, ApJ, 517, 627
   
• Mushotzky, R. F., & Loewenstein, M. 1997, ApJ, 481, L63
   
• Mushotzky, R. F., & Scharf, C. A. 1997, ApJ, 482, L13
   
• Nakamura, T. T., & Suto, Y. 1997, Prog. Theor. Phys., 97, 49
   
• Neumann, D. M., & Arnaud, M. 2001, A&A, 373, L33
   
• Novicki, M. C., Sornig, M., & Henry, J. P. 2002, AJ, 124, 2413
   
• Ota, N. 2001, Ph.D. Thesis, University of Tokyo (ISAS Research Note No. 727)
   
• Ota, N., & Mitsuda, K. 2002, ApJ, 567, L23
   
• Ota, N., Mitsuda, K., & Fukazawa, Y. 1998, ApJ, 495, 170
   
• Ota, N., Mitsuda, K., Hattori, M., & Mihara, T. 2000, ApJ, 530, 172
   
• Ota, N., Pointecouteau, E., Hattori, M., & Mitsuda, K. 2004 ApJ, 601, 120
   
• Pearce, F. R., Thomas, P. A., Couchman, H. M. P., & Edge, A. C. 2000, MNRAS, 317, 1029
   
• Peterson, J. R., et al. 2003, ApJ, 590, 207
   
• Prestwitch, A. H., Silverman, J., McDowell, J., Callanan, P., & Snowden, S. 1998, Spectral Calibration of the ROSAT HRI (http://hea-www.harvard.edu/rosat/rsdc_www/HRISPEC/spec_calib.html)
   
• Raymond, J. C., & Smith, B. W. 1977, ApJS, 35, 419
   
• Sanderson, A. J. R., Ponman, T. J., Finoguenov, A., Lloyd-Davies, E. J., & Markevitch, M. 2003, MNRAS, 340, 989
   
• Schindler, S. 1999, A&A, 349, 435
   
• Schmidt, R. W., Allen, S. W., & Fabian, A. C. 2001, MNRAS, 327, 1057
   
• Snowden, S. L. 1998, ApJS, 117, 233
   
• Soucail, G., Ota, N., Bohringer, H., Czoske, O., Hattori, M., & Mellier, Y. 2000, A&A, 355, 433
   
• Spergel, D. N., Verde, L., Peiris, H. V., et al. 2003, ApJS, 148, 175
   
• Tanaka, Y., Inoue, H., & Holt, S. S. 1994, PASJ, 46, L37
   
• Tamura, T., Kaastra, J. S., Peterson, J. R., et al. 2001, A&A, 365, L87
   
• Trümper, J. 1993, Science, 260, 1769
   
• Tyson, J. A., Kochanski, G. P., & Dell'Antonio, I. P. 1998, ApJ, 498, L107
   
• Vikhlinin, A., Forman, W., & Jones, C. 1999, ApJ, 525, 47
   
• Vikhlinin, A., VanSpeybroeck, L., Markevitch, M., Forman, W. R., & Grego, L. 2002, ApJ, 578, L107
   
• Xue, S. J., & Wu, X. P. 2002, ApJ, 572, 152
   
• White, D. A. 2000, MNRAS, 312, 663
   
• Yaqoob, T. 1999, ApJ, 511, L75
   
• Zimmermann, H.-U., et al. 1992, in Data Analysis in Astronomy IV, ed. V. Di. Gesu, L. Scarsi, R. Buccheri, P. Crane, M. Maccarone, & H.-U. Zimmermann (New York, London: Plenum Press), 141
  

 

  
8 Online Material

 

 

Table 1: Observation logs of ASCA GIS/SIS and ROSAT HRI. Columns 1 and 2, cluster ID and name (ordered according to redshift). Column 3, redshift of the cluster from NED. Columns 4 and 5, net exposures of the ASCA SIS and the GIS [s], respectively. The two sensors of the same system, i.e. SIS-0 and SIS-1, and GIS-2 and GIS-3 are added together. Note that for CL0500-24 and CL0024+17, the GIS data were not used in the spectral analysis because the spectra are heavily contaminated by point sources. For A402 the SIS data were not used due to the decrease in the low energy efficiency of the detectors. Column 6, sequential number of the ASCA data. Columns 7 and 8, X-ray centroid of the cluster, which was used to derive the radial surface brightness profile. Units of right ascension are hours, minutes, and seconds, and units of declination are degree, arcminutes, and arcseconds. Column 9, net exposure of the ROSAT HRI [s]. Column 10, sequential number(s) of the ROSAT HRI data.

			ASCA GIS/SIS			ROSAT HRI
ID	Cluster	z	$t_{\rm exp}$		Seq.	X-ray centroid		$t_{\rm exp}$	Seq.
			SIS	GIS		RA (J2000)	Dec (J2000)
1	PKS 0745-19	0.1028	23 995	79 739	81 016 000	07 47 31.4	-19 17 46.2	23 386	800398h
2	A2811	0.1086	88 632	93 838	84 003 000	00 42 07.3	-28 32 01.3	9345	800773h
3	A1068	0.1375	63 674	70 871	84 064 000	10 40 44.8	+39 57 11.9	17 669	800748h, 800630h
4	A1413	0.1427	51 212	75 012	81 008 000	11 55 18.0	+23 24 26.1	18 858	800871h
5	A990	0.144	128 830	148 150	84 070 000	10 23 40.5	+49 08 26.0	6745	800866h
6	A2204	0.1523	35 730	40 141	82 045 010	16 32 47.0	+05 34 33.0	15 489	800750h
7	A2104	0.1554	95 089	105 570	84 072 000	15 40 07.8	-03 18 22.4	43 680	800828h-1, 800828h
8	RX J1050.5-0236	0.1645	55 889	57 608	84 036 000	10 50 36.8	-02 36 18.6	34 836	800703h-1, 800703h
9	A586	0.171	21 669	18 326	81 009 010	07 32 20.5	+31 37 57.5	23 020	800668h
10	A2218	0.1756	63 431	74 648	80 001 000	16 35 52.6	+66 12 35.3	35 809	800588h-1, 800588h
11	MS0906.5+1110	0.18	44 627	46 250	83 034 000	09 09 12.5	+10 58 36.0	84 294	800801h-1, 800801h, 800664h
12	A665	0.1819	131 730	152 440	85 033 000	08 30 57.5	+65 51 15.0	99 305	800900h, 800774h
13	A1689	0.1832	60 444	70 671	80 005 000	13 11 29.6	-01 20 33.1	22 722	800445h, 800445h-1
14	MS0440.5+0204	0.19	18 291	74 158	82 026 000	04 43 10.2	+02 10 20.3	27 229	800457h-1, 800457h
15	A1246	0.1902	84 866	81 675	83 007 000	11 23 58.3	+21 29 11.6	15 500	800732h
16	MS0839.8+2938	0.194	57 171	74 553	82 011 000	08 42 55.7	+29 27 25.2	19 075	800159h
17	A115	0.1971	65 025	73 741	82 034 000	00 55 50.3	+26 24 36.0	50 719	800633h-1, 800633h
18	MS0451.5+0250	0.199	35 565	36 180	82 041 000	04 54 10.2	+02 55 39.2	12 790	800460h
19	A2163	0.203	57 576	62 750	80 024 000	16 15 46.3	-06 08 37.1	36 194	800593h-1,
20	A963	0.206	57 366	60 613	80 000 000	10 17 03.7	+39 02 56.2	20 616	800004h-1, 800004h
21	ZW2701	0.214	56 613	62 541	86 076 000	09 52 49.3	+51 53 05.3	17 581	800729h-1, 800729h
22	A1851	0.2149	38 762	71 979	82 007 000	14 00 05.2	+72 07 25.8	29 209	800670h
23	MS0735.6+7421	0.216	22 860	31 466	83 035 000	07 41 44.3	+74 14 35.5	27 164	800204h
24	A773	0.217	75 824	81 940	82 001 000	09 17 52.4	+51 43 34.7	22 854	800653h, 800618h
25	A1704	0.2205	40 084	39 196	81 007 000	13 14 24.9	+64 34 37.3	41 291	800667h
26	MS1006+1202	0.221	37 960	42 471	86 057 000	10 08 47.5	+11 47 57.1	87 310	800880h, 800807h-1, 800807h
27	A2261	0.224	38 965	40 466	84 062 000	17 22 27.0	+32 07 54.5	30 079	801084h
28	A1942	0.224	67 409	68 631	83 000 000	14 38 22.0	+03 40 04.8	44 515	800711h
29	A2219	0.2256	31 009	71 527	82 037 000	16 40 20.2	+46 42 31.2	13 342	800408h
30	A1895	0.2257	44 102	48 679	83 033 000	14 14 02.5	+71 17 08.4	39 628	800800h-1, 800800h
31	A2390	0.228	10 782	17 620	82 032 000	21 53 36.5	+17 41 45.2	35 573	800346h, 800178h-1, 800178h-0, 800117h
32	A1763	0.2284	74 407	78 447	83 044 000	13 35 20.0	+40 59 53.8	18 197	801049h
33	A2111	0.229	71 711	82 790	85 065 000	15 39 41.7	+34 25 01.6	62 288	800666h
34	A267	0.23	70 323	75 400	85 048 000	01 52 41.7	+01 00 39.1	15 850	800731h
35	A2667	0.23	59 099	77 198	85 028 000	23 51 39.4	-26 05 02.8	45 469	800659h, 800612h-1, 800612h
36	A1682	0.2339	73 103	78 656	84 075 000	13 06 51.8	+46 33 30.2	18 304	800616h
37	RX J2129.3+0005	0.235	61 213	67 219	85 029 000	21 29 39.9	+00 05 22.2	20 940	800835h-1, 800835h
38	MS1910+6736	0.246	44 444	54 448	86 058 000	19 10 28.2	+67 41 26.0	25 258	800808h
39	A1835	0.2532	31 071	35 677	82 052 000	14 01 20.0	+02 52 38.9	2835	800409h
40	RX J1023.8-2715	0.2533	38 484	40 505	85 044 000	10 23 50.4	-27 15 23.8	45 207	800911h, 800598h
41	A68	0.255	70 733	77 645	86 061 000	00 37 06.1	+09 09 28.3	17 266	801046h
42	MS1455.0+2232	0.2578	47 759	60 774	82 053 000	14 57 15.0	+22 20 37.3	14 886	800198h, 800198h-1, 800198h-2
43	A1758	0.279	35 906	40 180	83 013 010	13 32 43.8	+50 32 48.4	29 444	800579h
44	A483	0.28	71 358	75 804	82 031 000	04 15 57.0	-11 32 45.2	17 700	800709h
45	A697	0.282	110 750	130 120	84 031 000	08 42 58.1	+36 21 55.0	28 128	800854h
46	1E0657-56	0.296	74 130	101 260	86 075 000	06 58 29.4	-55 56 42.0	59 569	800665h, 800443h
47	MS1008.1-1224	0.301	35 183	36 948	82 056 000	10 10 32.4	-12 39 24.9	69 220	800434h
48	MS1147.3+1103	0.303	54 515	56 143	84 060 000	11 49 52.4	+10 46 44.2	57 338	800674h-2, 800674h-1
49	RX J1131.9-1955	0.3072	90 244	94 126	84 067 000	11 31 55.9	-19 55 51.9	10 864	800597h-1, 800597h
50	AC118	0.308	71 094	137 540	82 000 000	00 14 17.1	-30 23 02.6	34 203	800608h
51	MS0811.6+6301	0.312	49 606	56 128	84 061 000	08 15 59.7	+62 53 07.7	68 408	800675h
52	MS1241.5+1710	0.312	39 144	39 392	83 067 000	12 44 01.4	+16 53 44.9	18 562	800673h-1
53	AC114	0.312	73 467	73 521	83 019 010	22 58 49.2	-34 48 27.0	23 179	800342h-1, 800342h
54	MS2137.3-2353	0.313	32 276	32 221	81 022 000	21 40 15.2	-23 39 41.0	15 661	800245h-1, 800245h
55	A1995	0.3186	47 129	56 164	82 005 000	14 52 59.5	+58 02 58.1	37 876	800707h-1, 800707h, 800581h
56	CL0500-24	0.32	81 122	-	83 017 000	05 01 06.2	-24 25 20.3	37 756	800682h
57	A402	0.3224	-	93 794	87 062 000	02 57 41.7	-22 09 11.0	22 198	800876h
58	MS1224.7+2007	0.327	31 949	30 981	82 043 000	12 27 13.4	+19 50 56.8	54 856	800435h-3, 800435h-2, 800435h-1, 800435h
59	A1722	0.3275	66 380	85 119	81 013 000	13 20 07.6	+70 04 40.7	27 894	800580h
60	CL1358+6245	0.328	71 765	75 814	81 032 000	13 59 50.5	+62 31 02.6	29 456	800110h-1, 800110h
61	CL2244-02	0.33	89 054	78 066	83 016 000	22 47 13.4	-02 05 38.0	33 700	800829h
62	RX J1532.9+3021	0.345	70 463	80 462	86 067 000	15 32 53.8	+30 21 00.2	22 320	800855h
63	A959	0.3533	43 968	60 784	82 006 000	10 17 39.2	+59 33 49.5	80 986	800785h-1, 800785h, 800669h-1, 800669h
64	MS1512.4+3647	0.372	38 774	38 202	83 066 000	15 14 22.4	+36 36 17.8	35 218	800672h
65	A370	0.375	28 975	64 078	80 010 000	02 39 52.0	-01 34 33.6	22 016	801066h
66	CL0024+17	0.39	91 111	-	84 046 000	00 26 35.9	+17 09 40.0	121 912	800694h-2, 800694h-1, 800694h, 800589h-1, 800589h
67	A851	0.4069	69 281	88 012	83 068 000	09 42 59.5	+46 59 36.1	45 610	800819h
68	MS0302.7+1658	0.424	73 650	60 371	87 055 000	03 05 31.7	+17 10 04.0	34 005	800683h
69	MS1621.5+2640	0.426	68 557	73 073	85 051 000	16 23 35.7	+26 34 19.0	78 447	800888h, 800461h
70	RX J1347.5-1145	0.451	66 018	81 376	83 050 000	13 47 30.9	-11 45 08.6	36 458	800681h-2, 800681h-1, 800681h
71	3C 295	0.4641	42 242	69 125	71 003 000	14 11 20.2	+52 12 12.2	29 579	800678h-1, 800678h
72	CL0016+16	0.541	106 000	117 020	84 016 000	00 18 33.5	+16 26 12.8	76 593	800677h-1, 800677h
73	MS0451.6-0305	0.55	43 174	55 729	81 025 000	04 54 11.7	-03 00 52.2	46 208	800660h-1, 800660h
74	CL2236-04	0.56	73 163	68 577	83 018 000	22 39 32.7	-04 29 32.8	47 120	800908h
75	MS2053.7-0449	0.583	66 067	72 115	85 052 000	20 56 20.7	-04 37 51.6	95 458	800889h, 800810h-1
76	3C 220.1	0.61	79 909	84 684	86 034 000	09 32 39.9	+79 06 27.1	36 607	701727h
77	MS1137.5+6625	0.782	78 405	97 362	85 046 010	11 40 22.2	+66 08 15.0	100 035	800784h, 800662h
78	RX J1716.6+6708	0.813	100 230	115 780	84 059 000	17 16 49.8	+67 08 23.3	172 521	800891h
79	MS1054.5-0321	0.8231	124 650	132 210	83 065 000	10 56 58.4	-03 37 38.6	190 754	800937h-1, 800937h, 800783h-1, 800783h

 

 

Table 2: Results of single-$\beta$ model fitting with the ROSAT HRI. Column 3, R = regular cluster, I = irregular cluster. Column 4, S = single $\beta$ cluster, W = double $\beta$ cluster. (1)/(2) = inner/outer core dominant cluster. See Sect. 3.5 for details. Column 9, reduced $\chi ^2$ of the single $\beta$-model fitting for the degree of freedom of 140. Column 10, Bautz-Morgan type.

ID	Cluster	R/I	S/W	S0	$\beta$	$r_{\rm c}$	$r_{\rm c}$	$\chi^2_{\nu}$	BM
				${\rm [cts~s^{-1}~arcmin^{-2}]}$		[arcsec]	[ h70-1 Mpc]
1	PKS 0745-19	R	W(1)	$\rm 3.69 _{-0.26 }^{+0.26 } \times 10^{-1 }$	$\rm0.52 _{-0.01 }^{+0.01 }$	$\rm 16.4 _{-0.9 }^{+0.9 }$	$\rm0.031 _{-0.002 }^{+0.002 }$	0.97	-
2	A2811	R	S	$\rm 2.73 _{-0.32 }^{+0.26 } \times 10^{-2 }$	$\rm0.65 _{-0.08 }^{+0.11 }$	$\rm 79.3 _{-14.0 }^{+21.0 }$	$\rm0.158 _{-0.028 }^{+0.042 }$	1.24	I-II
3	A1068	R	S	$\rm 5.00 _{-0.53 }^{+0.53 } \times 10^{-1 }$	$\rm0.52 _{-0.01 }^{+0.01 }$	$\rm 10.1 _{-0.8 }^{+1.0 }$	$\rm0.025 _{-0.002 }^{+0.002 }$	1.00	I
4	A1413	R	W(2)	$\rm 7.96 _{-0.64 }^{+0.64 } \times 10^{-2 }$	$\rm0.51 _{-0.02 }^{+0.03 }$	$\rm 32.7 _{-3.6 }^{+5.5 }$	$\rm0.082 _{-0.009 }^{+0.014 }$	1.36	I
5	A990	R	S	$\rm 1.74 _{-0.19 }^{+0.38 } \times 10^{-2 }$	$\rm0.74 _{-0.17 }^{+0.26 }$	$\rm 102.7 _{-35.5 }^{+35.5 }$	$\rm0.260 _{-0.090 }^{+0.090 }$	1.18	III
6	A2204	R	W(1)	$\rm 1.25 _{-0.07 }^{+0.07 }$	$\rm0.50 _{-0.01 }^{+0.01 }$	$\rm 8.0 _{-0.5 }^{+0.5 }$	$\rm0.021 _{-0.001 }^{+0.001 }$	1.06	II
7	A2104	R	S(1)	$\rm 1.29 _{-0.13 }^{+0.13 } \times 10^{-2 }$	$\rm0.54 _{-0.05 }^{+0.05 }$	$\rm 61.7 _{-9.2 }^{+9.2 }$	$\rm0.166 _{-0.025 }^{+0.025 }$	0.97	III
8	RX J1050.5-0236	R	S	$\rm 1.84 _{-0.25 }^{+0.20 } \times 10^{-1 }$	$\rm0.53 _{-0.01 }^{+0.02 }$	$\rm 9.7 _{-0.8 }^{+1.4 }$	$\rm0.027 _{-0.002 }^{+0.004 }$	1.14	III
9	A586	R	W(2)	$\rm 5.43 _{-0.60 }^{+0.48 } \times 10^{-2 }$	$\rm0.68 _{-0.07 }^{+0.07 }$	$\rm 41.0 _{-6.9 }^{+6.9 }$	$\rm0.119 _{-0.020 }^{+0.020 }$	1.10	I
10	A2218	I	S	$\rm 2.27 _{-0.15 }^{+0.19 } \times 10^{-2 }$	$\rm0.58 _{-0.04 }^{+0.04 }$	$\rm 55.5 _{-6.4 }^{+6.4 }$	$\rm0.165 _{-0.019 }^{+0.019 }$	0.92	II
11	MS0906.5+1110	I	S	$\rm 3.30 _{-0.23 }^{+0.23 } \times 10^{-2 }$	$\rm0.50 _{-0.02 }^{+0.02 }$	$\rm 25.9 _{-2.5 }^{+2.5 }$	$\rm0.079 _{-0.008 }^{+0.008 }$	1.17	-
12	A665	I	S	$\rm 1.92 _{-0.07 }^{+0.08 } \times 10^{-2 }$	$\rm0.59 _{-0.02 }^{+0.02 }$	$\rm 73.3 _{-4.6 }^{+4.6 }$	$\rm0.225 _{-0.014 }^{+0.014 }$	1.35	III
13	A1689	R	W(1)	$\rm 2.10 _{-0.12 }^{+0.12 } \times 10^{-1 }$	$\rm0.55 _{-0.01 }^{+0.01 }$	$\rm 22.8 _{-1.5 }^{+1.5 }$	$\rm0.070 _{-0.005 }^{+0.005 }$	1.04	II-III
14	MS0440.5+0204	R	S(1)	$\rm 5.53 _{-1.49 }^{+1.87 } \times 10^{-2 }$	$\rm0.48 _{-0.03 }^{+0.05 }$	$\rm 9.2 _{-2.1 }^{+3.6 }$	$\rm0.029 _{-0.007 }^{+0.011 }$	0.89	-
15	A1246	R	S	$\rm 2.05 _{-0.34 }^{+0.34 } \times 10^{-2 }$	$\rm0.47 _{-0.04 }^{+0.06 }$	$\rm 34.9 _{-7.1 }^{+11.8 }$	$\rm0.111 _{-0.022 }^{+0.037 }$	1.12	II-III
16	MS0839.8+2938	R	S	$\rm 1.00 _{-0.19 }^{+0.15 } \times 10^{-1 }$	$\rm0.56 _{-0.03 }^{+0.05 }$	$\rm 12.4 _{-1.6 }^{+2.7 }$	$\rm0.040 _{-0.005 }^{+0.009 }$	1.12	-
17	A115	I	S	$\rm 1.53 _{-0.21 }^{+0.17 } \times 10^{-1 }$	$\rm0.40 _{-0.01 }^{+0.01 }$	$\rm 4.9 _{-0.6 }^{+1.0 }$	$\rm0.016 _{-0.002 }^{+0.003 }$	1.33	III
18	MS0451.5+0250	I	S	$\rm 9.58 _{-0.97 }^{+1.21 } \times 10^{-3 }$	$\rm 1.03 _{-0.32 }^{+0.06 }$	$\rm 164.9 _{-49.6 }^{+16.5 }$	$\rm0.542 _{-0.163 }^{+0.054 }$	0.97	III
19	A2163	I	S	$\rm 2.52 _{-0.11 }^{+0.11 } \times 10^{-2 }$	$\rm0.65 _{-0.04 }^{+0.04 }$	$\rm 87.4 _{-7.2 }^{+7.2 }$	$\rm0.292 _{-0.024 }^{+0.024 }$	1.07	-
20	A963	R	S	$\rm 7.60 _{-0.96 }^{+0.77 } \times 10^{-2 }$	$\rm0.50 _{-0.02 }^{+0.03 }$	$\rm 21.0 _{-2.0 }^{+3.3 }$	$\rm0.071 _{-0.007 }^{+0.011 }$	0.94	I-II
21	ZW2701	R	W(1)	$\rm 1.71 _{-0.25 }^{+0.20 } \times 10^{-1 }$	$\rm0.53 _{-0.02 }^{+0.03 }$	$\rm 11.8 _{-1.1 }^{+2.3 }$	$\rm0.041 _{-0.004 }^{+0.008 }$	0.88	-
22	A1851	I	S	$\rm 1.27 _{-0.22 }^{+0.22 } \times 10^{-2 }$	$\rm0.55 _{-0.07 }^{+0.13 }$	$\rm 37.5 _{-9.1 }^{+18.1 }$	$\rm0.131 _{-0.032 }^{+0.063 }$	1.01	II-III
23	MS0735.6+7421	R	W(1)	$\rm 1.84 _{-0.22 }^{+0.22 } \times 10^{-1 }$	$\rm0.46 _{-0.01 }^{+0.01 }$	$\rm 7.8 _{-1.0 }^{+1.2 }$	$\rm0.027 _{-0.003 }^{+0.004 }$	1.16	-
24	A773	R	S	$\rm 2.93 _{-0.23 }^{+0.29 } \times 10^{-2 }$	$\rm0.66 _{-0.07 }^{+0.07 }$	$\rm 54.0 _{-8.8 }^{+8.8 }$	$\rm0.190 _{-0.031 }^{+0.031 }$	1.07	II-III
25	A1704	R	S(1)	$\rm 1.75 _{-0.20 }^{+0.20 } \times 10^{-1 }$	$\rm0.48 _{-0.01 }^{+0.01 }$	$\rm 9.1 _{-0.9 }^{+1.1 }$	$\rm0.032 _{-0.003 }^{+0.004 }$	0.99	II
26	MS1006+1202	I	S	$\rm 1.12 _{-0.10 }^{+0.08 } \times 10^{-2 }$	$\rm0.69 _{-0.10 }^{+0.10 }$	$\rm 60.0 _{-11.1 }^{+11.1 }$	$\rm0.214 _{-0.040 }^{+0.040 }$	1.19	-
27	A2261	R	S(2)	$\rm 1.12 _{-0.12 }^{+0.10 } \times 10^{-1 }$	$\rm0.51 _{-0.01 }^{+0.02 }$	$\rm 17.3 _{-1.3 }^{+2.2 }$	$\rm0.062 _{-0.005 }^{+0.008 }$	1.09	-
28	A1942	I	S	$\rm 7.92 _{-1.55 }^{+1.93 } \times 10^{-3 }$	$\rm0.45 _{-0.05 }^{+0.05 }$	$\rm 30.7 _{-9.8 }^{+9.8 }$	$\rm0.111 _{-0.035 }^{+0.035 }$	1.26	III
29	A2219	R	S	$\rm 3.96 _{-0.44 }^{+0.44 } \times 10^{-2 }$	$\rm0.56 _{-0.03 }^{+0.06 }$	$\rm 52.1 _{-5.8 }^{+11.7 }$	$\rm0.189 _{-0.021 }^{+0.042 }$	1.10	III
30	A1895	I	S	$\rm 4.54 _{-0.49 }^{+0.38 } \times 10^{-3 }$	$\rm 1.04 _{-0.26 }^{+1.53 }$	$\rm 181.3 _{-37.0 }^{+157.3 }$	$\rm0.658 _{-0.134 }^{+0.571 }$	1.31	III
31	A2390	R	W(1)	$\rm 1.70 _{-0.19 }^{+0.15 } \times 10^{-1 }$	$\rm0.46 _{-0.01 }^{+0.01 }$	$\rm 12.1 _{-0.9 }^{+1.4 }$	$\rm0.044 _{-0.003 }^{+0.005 }$	1.61	-
32	A1763	I	S	$\rm 2.12 _{-0.21 }^{+0.27 } \times 10^{-2 }$	$\rm0.49 _{-0.03 }^{+0.05 }$	$\rm 46.1 _{-6.1 }^{+10.2 }$	$\rm0.168 _{-0.022 }^{+0.037 }$	0.98	III
33	A2111	I	S	$\rm 1.45 _{-0.12 }^{+0.16 } \times 10^{-2 }$	$\rm0.49 _{-0.02 }^{+0.04 }$	$\rm 40.6 _{-4.5 }^{+7.6 }$	$\rm0.149 _{-0.017 }^{+0.028 }$	1.06	II-III
34	A267	R	S	$\rm 3.08 _{-0.45 }^{+0.45 } \times 10^{-2 }$	$\rm0.62 _{-0.07 }^{+0.11 }$	$\rm 38.3 _{-7.4 }^{+11.1 }$	$\rm0.141 _{-0.027 }^{+0.041 }$	1.05	-
35	A2667	R	W(1)	$\rm 2.83 _{-0.19 }^{+0.15 } \times 10^{-1 }$	$\rm0.52 _{-0.01 }^{+0.01 }$	$\rm 13.4 _{-0.8 }^{+0.8 }$	$\rm0.049 _{-0.003 }^{+0.003 }$	1.25	I
36	A1682	I	S	$\rm 8.00 _{-0.85 }^{+1.69 } \times 10^{-3 }$	$\rm0.75 _{-0.21 }^{+0.31 }$	$\rm 103.1 _{-38.7 }^{+38.7 }$	$\rm0.384 _{-0.144 }^{+0.144 }$	1.02	II
37	RX J2129.3+0005	R	S(1)	$\rm 2.09 _{-0.31 }^{+0.24 } \times 10^{-1 }$	$\rm0.51 _{-0.01 }^{+0.02 }$	$\rm 11.3 _{-1.0 }^{+1.7 }$	$\rm0.042 _{-0.004 }^{+0.006 }$	1.03	-
38	MS1910+6736	I	S	$\rm 2.58 _{-0.58 }^{+0.96 } \times 10^{-2 }$	$\rm0.47 _{-0.04 }^{+0.06 }$	$\rm 16.0 _{-4.6 }^{+7.7 }$	$\rm0.062 _{-0.018 }^{+0.030 }$	1.27	-
39	A1835	R	S	$\rm 5.75 _{-0.87 }^{+0.87 } \times 10^{-1 }$	$\rm0.55 _{-0.02 }^{+0.04 }$	$\rm 11.5 _{-1.3 }^{+2.6 }$	$\rm0.046 _{-0.005 }^{+0.010 }$	1.14	-
40	RX J1023.8-2715	R	S	$\rm 3.35 _{-0.24 }^{+0.36 } \times 10^{-1 }$	$\rm0.51 _{-0.01 }^{+0.01 }$	$\rm 9.5 _{-0.8 }^{+0.5 }$	$\rm0.037 _{-0.003 }^{+0.002 }$	0.92	II-III
41	A68	R	S	$\rm 1.61 _{-0.26 }^{+0.26 } \times 10^{-2 }$	$\rm0.61 _{-0.11 }^{+0.16 }$	$\rm 44.7 _{-13.0 }^{+19.5 }$	$\rm0.177 _{-0.052 }^{+0.077 }$	1.16	II-III
42	MS1455.0+2232	R	S	$\rm 3.67 _{-0.50 }^{+0.40 } \times 10^{-1 }$	$\rm0.59 _{-0.02 }^{+0.03 }$	$\rm 10.6 _{-0.9 }^{+1.5 }$	$\rm0.043 _{-0.004 }^{+0.006 }$	1.40	-
43	A1758	I	S	$\rm 9.19 _{-0.68 }^{+0.68 } \times 10^{-3 }$	$\rm 3.0(>1.5)$	$\rm 271.3(>171.3)$	$\rm 1.149 _{-0.424 }^{+0.053 }$	1.16	III
44	A483	I	S	$\rm 5.08 _{-1.02 }^{+1.63 } \times 10^{-3 }$	$\rm 1.2 _{-0.5 }^{+4.3 }$	$\rm 110.0 _{-45.0 }^{+210.1 }$	$\rm0.467 _{-0.191 }^{+0.892 }$	1.01	III
45	A697	I	S	$\rm 2.85 _{-0.23 }^{+0.29 } \times 10^{-2 }$	$\rm0.58 _{-0.04 }^{+0.04 }$	$\rm 46.3 _{-6.0 }^{+6.0 }$	$\rm0.198 _{-0.025 }^{+0.025 }$	0.83	II-III
46	1E0657-56	I	S	$\rm 2.58 _{-0.13 }^{+0.07 } \times 10^{-2 }$	$\rm 1.04 _{-0.10 }^{+0.16 }$	$\rm 112.5 _{-10.4 }^{+15.6 }$	$\rm0.497 _{-0.046 }^{+0.069 }$	1.37	-
47	MS1008.1-1224	I	S	$\rm 1.61 _{-0.16 }^{+0.20 } \times 10^{-2 }$	$\rm0.61 _{-0.04 }^{+0.07 }$	$\rm 34.1 _{-4.3 }^{+7.2 }$	$\rm0.152 _{-0.019 }^{+0.032 }$	0.94	-
48	MS1147.3+1103	R	S	$\rm 1.18 _{-0.28 }^{+0.42 } \times 10^{-2 }$	$\rm0.44 _{-0.05 }^{+0.04 }$	$\rm 14.3 _{-5.4 }^{+5.4 }$	$\rm0.064 _{-0.024 }^{+0.024 }$	1.29	-
49	RX J1131.9-1955	I	S	$\rm 2.29 _{-0.41 }^{+0.41 } \times 10^{-2 }$	$\rm0.48 _{-0.04 }^{+0.07 }$	$\rm 29.0 _{-6.3 }^{+12.5 }$	$\rm0.131 _{-0.028 }^{+0.057 }$	1.11	-
50	AC118	I	S	$\rm 1.23 _{-0.14 }^{+0.06 } \times 10^{-2 }$	$\rm0.96 _{-0.16 }^{+0.44 }$	$\rm 132.5 _{-20.9 }^{+55.8 }$	$\rm0.601 _{-0.095 }^{+0.253 }$	1.04	III
51	MS0811.6+6301	R	S	$\rm 2.23 _{-0.39 }^{+0.39 } \times 10^{-2 }$	$\rm0.50 _{-0.04 }^{+0.06 }$	$\rm 11.3 _{-2.1 }^{+4.2 }$	$\rm0.052 _{-0.010 }^{+0.019 }$	0.94	-
52	MS1241.5+1710	R	S(2)	$\rm 1.20 _{-0.29 }^{+0.58 } \times 10^{-1 }$	$\rm0.55 _{-0.07 }^{+0.17 }$	$\rm 5.5 _{-2.4 }^{+3.5 }$	$\rm0.025 _{-0.011 }^{+0.016 }$	1.07	-
53	AC114	I	S	$\rm 1.37 _{-0.20 }^{+0.20 } \times 10^{-2 }$	$\rm0.50 _{-0.04 }^{+0.07 }$	$\rm 39.4 _{-7.2 }^{+12.0 }$	$\rm0.181 _{-0.033 }^{+0.055 }$	1.18	II-III
54	MS2137.3-2353	R	S	$\rm 4.19 _{-0.55 }^{+0.44 } \times 10^{-1 }$	$\rm0.60 _{-0.02 }^{+0.04 }$	$\rm 8.3 _{-0.7 }^{+1.5 }$	$\rm0.038 _{-0.003 }^{+0.007 }$	0.76	-
55	A1995	R	S	$\rm 2.62 _{-0.38 }^{+0.19 } \times 10^{-2 }$	$\rm0.74 _{-0.08 }^{+0.19 }$	$\rm 44.9 _{-6.6 }^{+15.5 }$	$\rm0.209 _{-0.031 }^{+0.072 }$	1.09	-
56	CL0500-24	I	S	$\rm 5.72 _{-2.47 }^{+6.19 } \times 10^{-3 }$	$\rm0.40 _{-0.06 }^{+0.13 }$	$\rm 12.9 _{-7.9 }^{+13.2 }$	$\rm0.060 _{-0.037 }^{+0.062 }$	0.97	III
57	A402	R	S(1)	$\rm 4.88 _{-0.83 }^{+0.66 } \times 10^{-2 }$	$\rm0.54 _{-0.03 }^{+0.05 }$	$\rm 17.2 _{-2.4 }^{+4.7 }$	$\rm0.080 _{-0.011 }^{+0.022 }$	1.09	-
58	MS1224.7+2007	R	S	$\rm 4.06 _{-0.98 }^{+1.47 } \times 10^{-2 }$	$\rm0.45 _{-0.03 }^{+0.04 }$	$\rm 5.8 _{-1.9 }^{+1.5 }$	$\rm0.027 _{-0.009 }^{+0.007 }$	1.30	-
59	A1722	I	S	$\rm 2.72 _{-0.45 }^{+0.45 } \times 10^{-2 }$	$\rm0.51 _{-0.04 }^{+0.06 }$	$\rm 19.5 _{-3.5 }^{+5.9 }$	$\rm0.092 _{-0.017 }^{+0.028 }$	0.81	III
60	CL1358+6245	R	S	$\rm 8.18 _{-1.08 }^{+1.80 } \times 10^{-2 }$	$\rm0.46 _{-0.02 }^{+0.02 }$	$\rm 8.4 _{-2.0 }^{+1.6 }$	$\rm0.040 _{-0.009 }^{+0.007 }$	1.26	-
61	CL2244-02	I	S	$\rm 2.08 _{-0.93 }^{+0.21 } \times 10^{-3 }$	$\rm0.26 _{-0.07 }^{+0.09 }$	$\rm 14.1 _{-8.3 }^{+37.3 }$	$\rm0.067 _{-0.039 }^{+0.177 }$	1.14	-
62	RX J1532.9+3021	R	S(1)	$\rm 4.73 _{-0.49 }^{+0.39 } \times 10^{-1 }$	$\rm0.59 _{-0.02 }^{+0.02 }$	$\rm 9.5 _{-0.8 }^{+0.8 }$	$\rm0.047 _{-0.004 }^{+0.004 }$	1.01	-
63	A959	I	S	$\rm 4.45 _{-0.62 }^{+0.31 } \times 10^{-3 }$	$\rm0.64 _{-0.12 }^{+0.19 }$	$\rm 88.7 _{-21.8 }^{+32.7 }$	$\rm0.441 _{-0.108 }^{+0.162 }$	1.13	III
64	MS1512.4+3647	R	S	$\rm 7.31 _{-1.31 }^{+1.31 } \times 10^{-2 }$	$\rm0.54 _{-0.04 }^{+0.06 }$	$\rm 8.3 _{-1.5 }^{+2.4 }$	$\rm0.042 _{-0.008 }^{+0.013 }$	1.06	-
65	A370	I	S	$\rm 7.34 _{-1.27 }^{+2.12 } \times 10^{-3 }$	$\rm0.54 _{-0.12 }^{+0.18 }$	$\rm 44.7 _{-20.9 }^{+20.9 }$	$\rm0.231 _{-0.108 }^{+0.108 }$	1.02	II-III
66	CL0024+17	I	S	$\rm 9.92 _{-1.60 }^{+3.21 } \times 10^{-3 }$	$\rm0.41 _{-0.03 }^{+0.03 }$	$\rm 11.1 _{-4.1 }^{+4.1 }$	$\rm0.059 _{-0.022 }^{+0.022 }$	1.24	-
67	A851	I	S	$\rm 3.30 _{-0.59 }^{+0.74 } \times 10^{-3 }$	$\rm0.48 _{-0.07 }^{+0.25 }$	$\rm 62.1 _{-19.0 }^{+37.9 }$	$\rm0.337 _{-0.103 }^{+0.206 }$	1.03	-
68	MS0302.7+1658	R	S	$\rm 3.32 _{-1.02 }^{+1.02 } \times 10^{-2 }$	$\rm0.48 _{-0.04 }^{+0.11 }$	$\rm 6.6 _{-1.6 }^{+5.6 }$	$\rm0.037 _{-0.009 }^{+0.031 }$	0.92	-
69	MS1621.5+2640	I	S	$\rm 5.82 _{-1.06 }^{+1.06 } \times 10^{-3 }$	$\rm0.44 _{-0.05 }^{+0.08 }$	$\rm 24.9 _{-6.2 }^{+12.5 }$	$\rm0.139 _{-0.035 }^{+0.070 }$	1.12	-
70	RX J1347.5-1145	R	S	$\rm 4.89 _{-0.37 }^{+0.30 } \times 10^{-1 }$	$\rm0.59 _{-0.01 }^{+0.02 }$	$\rm 10.3 _{-0.6 }^{+0.6 }$	$\rm0.060 _{-0.004 }^{+0.004 }$	1.06	-
71	3C 295	R	S(1)	$\rm 1.60 _{-0.26 }^{+0.26 } \times 10^{-1 }$	$\rm0.69 _{-0.07 }^{+0.09 }$	$\rm 9.7 _{-1.6 }^{+2.1 }$	$\rm0.057 _{-0.010 }^{+0.012 }$	1.10	-
72	CL0016+16	I	S	$\rm 1.74 _{-0.21 }^{+0.21 } \times 10^{-2 }$	$\rm0.61 _{-0.04 }^{+0.09 }$	$\rm 33.7 _{-4.1 }^{+8.2 }$	$\rm0.214 _{-0.026 }^{+0.052 }$	1.00	-
73	MS0451.6-0305	I	S	$\rm 2.16 _{-0.24 }^{+0.24 } \times 10^{-2 }$	$\rm0.66 _{-0.08 }^{+0.10 }$	$\rm 33.1 _{-6.2 }^{+7.8 }$	$\rm0.212 _{-0.040 }^{+0.050 }$	0.96	-
74	CL2236-04	R	S	$\rm 4.06 _{-1.09 }^{+0.54 } \times 10^{-2 }$	$\rm0.59 _{-0.08 }^{+0.19 }$	$\rm 9.7 _{-2.4 }^{+5.6 }$	$\rm0.063 _{-0.015 }^{+0.036 }$	1.34	III
75	MS2053.7-0449	R	S	$\rm 5.61 _{-2.01 }^{+3.15 } \times 10^{-3 }$	$\rm 1.01 _{-0.47 }^{+4.47 }$	$\rm 26.0 _{-15.8 }^{+73.5 }$	$\rm0.172 _{-0.104 }^{+0.485 }$	1.30	-
76	3C 220.1	R	S(2)	$\rm 1.08 _{-0.21 }^{+0.26 } \times 10^{-1 }$	$\rm0.84 _{-0.19 }^{+0.45 }$	$\rm 8.1 _{-2.8 }^{+4.2 }$	$\rm0.055 _{-0.019 }^{+0.028 }$	1.02	-
77	MS1137.5+6625	R	S	$\rm 1.80 _{-0.44 }^{+0.22 } \times 10^{-2 }$	$\rm0.58 _{-0.08 }^{+0.19 }$	$\rm 13.0 _{-3.2 }^{+7.5 }$	$\rm0.097 _{-0.024 }^{+0.056 }$	1.15	-
78	RX J1716.6+6708	I	S	$\rm 6.22 _{-1.18 }^{+2.35 } \times 10^{-3 }$	$\rm0.64 _{-0.19 }^{+0.44 }$	$\rm 21.1 _{-10.9 }^{+16.4 }$	$\rm0.160 _{-0.082 }^{+0.124 }$	1.20	-
79	MS1054.5-0321	I	S	$\rm 4.66 _{-0.40 }^{+0.51 } \times 10^{-3 }$	$\rm 3.0(>1.8)$	$\rm 129.0(>93.0)$	$\rm0.978 _{-0.273 }^{+0.046 }$	1.11	-

 

 

Table 3: Results of double-$\beta$ model fitting with the ROSAT HRI. Column 7, we assumed $\beta _1 = \beta _2$ in the double-$\beta$ model fitting. Column 10, reduced $\chi ^2$ of the double $\beta$-model fitting for the degree of freedom of 138.

ID	Cluster	S1	r1	r1	S2	$\beta_2$	r2	r2	$\chi^2_{\nu}$
		${\rm [cts~s^{-1}~arcmin^{-2}]}$	[arcsec]	[ h70-1 Mpc]	${\rm [cts~s^{-1}~arcmin^{-2}]}$		[arcsec]	[ h70-1 Mpc]
1	PKS 0745-19	$\rm 3.54_{-0.22 }^{+0.28 } \times 10^{-1}$	$\rm 18.6_{-3.0 }^{+2.4 }$	$\rm0.035_{-0.006 }^{+0.004 }$	$\rm 2.17_{-0.80 }^{+1.00 } \times 10^{-2}$	$\rm0.65_{-0.08 }^{+0.06 }$	$\rm 76.3_{-21.7 }^{+13.0 }$	$\rm0.145_{-0.041 }^{+0.025 }$	0.90
4	A1413	$\rm 5.85_{-2.52 }^{+3.78 } \times 10^{-2}$	$\rm 10.5_{-5.0 }^{+8.3 }$	$\rm0.026_{-0.013 }^{+0.021 }$	$\rm 5.23_{-1.92 }^{+1.54 } \times 10^{-2}$	$\rm0.56_{-0.04 }^{+0.05 }$	$\rm 46.1_{-7.7 }^{+12.9 }$	$\rm0.116_{-0.019 }^{+0.032 }$	1.30
6	A2204	$\rm 1.21_{-0.07 }^{+0.07 } \times 10^{0}$	$\rm 9.6_{-0.9 }^{+0.9 }$	$\rm0.026_{-0.002 }^{+0.002 }$	$\rm 3.55_{-1.32 }^{+1.05 } \times 10^{-2}$	$\rm0.60_{-0.04 }^{+0.04 }$	$\rm 56.2_{-11.7 }^{+11.7 }$	$\rm0.149_{-0.031 }^{+0.031 }$	0.99
9	A586	$\rm 3.31_{-1.30 }^{+1.62 } \times 10^{-2}$	$\rm 16.6_{-8.3 }^{+12.4 }$	$\rm0.048_{-0.024 }^{+0.036 }$	$\rm 3.67_{-1.15 }^{+0.92 } \times 10^{-2}$	$\rm0.78_{-0.10 }^{+0.23 }$	$\rm 62.3_{-18.4 }^{+18.4 }$	$\rm0.181_{-0.053 }^{+0.053 }$	1.05
13	A1689	$\rm 1.97_{-0.16 }^{+0.16 } \times 10^{-1}$	$\rm 23.9_{-4.6 }^{+4.6 }$	$\rm0.074_{-0.014 }^{+0.014 }$	$\rm 2.53_{-0.49 }^{+1.72 } \times 10^{-2}$	$\rm0.70_{-0.08 }^{+0.13 }$	$\rm 82.2_{-24.0 }^{+14.4 }$	$\rm0.253_{-0.074 }^{+0.044 }$	0.93
21	ZW2701	$\rm 1.40_{-0.14 }^{+0.28 } \times 10^{-1}$	$\rm 22.9_{-8.1 }^{+8.1 }$	$\rm0.080_{-0.028 }^{+0.028 }$	$\rm 7.22_{-2.82 }^{+2.82 } \times 10^{-3}$	$\rm0.99_{-0.32 }^{+0.49 }$	$\rm 104.6_{-24.1 }^{+40.1 }$	$\rm0.364_{-0.084 }^{+0.140 }$	0.84
23	MS0735.6+7421	$\rm 1.75_{-0.25 }^{+0.25 } \times 10^{-1}$	$\rm 12.3_{-1.9 }^{+3.9 }$	$\rm0.043_{-0.007 }^{+0.014 }$	$\rm 1.71_{-0.25 }^{+0.31 } \times 10^{-2}$	$\rm0.88_{-0.13 }^{+0.27 }$	$\rm 75.1_{-15.2 }^{+19.0 }$	$\rm0.263_{-0.053 }^{+0.067 }$	0.90
31	A2390	$\rm 1.69_{-0.19 }^{+0.15 } \times 10^{-1}$	$\rm 13.9_{-2.1 }^{+2.7 }$	$\rm0.051_{-0.008 }^{+0.010 }$	$\rm 2.07_{-0.29 }^{+0.36 } \times 10^{-2}$	$\rm0.68_{-0.07 }^{+0.09 }$	$\rm 75.4_{-15.3 }^{+15.3 }$	$\rm0.275_{-0.056 }^{+0.056 }$	1.22
35	A2667	$\rm 2.71_{-0.48 }^{+0.16 } \times 10^{-1}$	$\rm 11.5_{-2.6 }^{+0.6 }$	$\rm0.042_{-0.010 }^{+0.002 }$	$\rm 4.48_{-1.72 }^{+4.30 } \times 10^{-2}$	$\rm0.58_{-0.02 }^{+0.03 }$	$\rm 33.0_{-8.6 }^{+14.3 }$	$\rm0.121_{-0.032 }^{+0.053 }$	1.15

 

 

Table 4: Results of the ASCA spectral analysis. Column 3, absorption column density, which was included as a free parameter in the spectral fitting. Column 4, emission-weighted X-ray temperature of the cluster. Column 5, metal abundance. Column 6, normalization factor for the Raymond-Smith model, $k=\int n_{\rm e} n_{\rm H} {\rm d}V/4\pi D^2 {\rm [10^{-14} cm^{-5}]}$, where $D=D_{\rm A}(1+z)$ ($D_{\rm A}$: angular diameter distance to the source). Column 7, X-ray flux in the 2-10 keV band measured with the GIS. Note that for CL0500-24 and CL0024+17, the 2-10 keV flux, the 2-10 keV luminosity and the bolometric luminosity were estimated with the SIS data. Column 8, 2-10 keV luminosity within r<6' measured with ASCA. Column 9, bolometric luminosity within r<6'. Column 10, bolometric luminosity within r₅₀₀. Column 11, $\chi ^2$ and the degree of freedom (d.o.f.) of the Raymond-Smith model fitting. (F) Fixed parameters.

ID	Cluster	$N_{\rm H}$	kT	Z	Normalization	Flux	$L_{\rm X} (6')$	$L_{\rm X,bol}(6')$	$L_{\rm X,bol}$	$\chi ^2$/ d.o.f.
		[ $10^{20}~{\rm cm^{-2}}$]	[keV]	[solar]		[ ${\rm erg~s^{-1}~cm^{-2}}$]	[ ${\rm erg~s^{-1}}$]	[ ${\rm erg~s^{-1}}$]	[ ${\rm erg~s^{-1}}$]
1	PKS 0745-19	$\rm 34.7_{-1.0 }^{+1.0 }$	$\rm 6.50_{-0.19 }^{+0.19 }$	$\rm0.31_{-0.03 }^{+0.03 }$	$\rm 7.77_{-0.10 }^{+0.10 }\times10^{-2}$	$\rm 6.26 \times10^{-11}$	$\rm 1.76_{-0.01 }^{+0.01 }\times10^{45}$	$\rm 3.07_{-0.01 }^{+0.01 }\times10^{45}$	$\rm 3.46_{-0.02 }^{+0.02 }\times10^{45}$	865.9/716
2	A2811	$\rm 8.3_{-0.9 }^{+0.9 }$	$\rm 4.61_{-0.14 }^{+0.19 }$	$\rm0.27_{-0.04 }^{+0.04 }$	$\rm 1.51_{-0.03 }^{+0.03 }\times10^{-2}$	$\rm 9.64 \times10^{-12}$	$\rm 3.04_{-0.03 }^{+0.04 }\times10^{44}$	$\rm 5.74_{-0.04 }^{+0.05 }\times10^{44}$	$\rm 6.38_{-0.05 }^{+0.05 }\times10^{44}$	504.3/466
3	A1068	$\rm 7.5_{-1.0 }^{+1.0 }$	$\rm 3.57_{-0.11 }^{+0.11 }$	$\rm0.42_{-0.06 }^{+0.06 }$	$\rm 1.44_{-0.04 }^{+0.04 }\times10^{-2}$	$\rm 7.20 \times10^{-12}$	$\rm 3.92_{-0.05 }^{+0.05 }\times10^{44}$	$\rm 8.01_{-0.07 }^{+0.08 }\times10^{44}$	$\rm 7.79_{-0.07 }^{+0.07 }\times10^{44}$	470.2/368
4	A1413	$\rm 4.7_{-0.9 }^{+0.9 }$	$\rm 6.99_{-0.30 }^{+0.30 }$	$\rm0.27_{-0.05 }^{+0.05 }$	$\rm 2.05_{-0.04 }^{+0.04 }\times10^{-2}$	$\rm 1.62 \times10^{-11}$	$\rm 8.96_{-0.09 }^{+0.08 }\times10^{44}$	$\rm 1.56_{-0.01 }^{+0.01 }\times10^{45}$	$\rm 1.67_{-0.01 }^{+0.01 }\times10^{45}$	527.3/504
5	A990	$\rm 9.7_{-1.0 }^{+1.1 }$	$\rm 5.62_{-0.24 }^{+0.24 }$	$\rm0.27_{-0.05 }^{+0.05 }$	$\rm 1.21_{-0.03 }^{+0.03 }\times10^{-2}$	$\rm 8.31 \times10^{-12}$	$\rm 4.81_{-0.06 }^{+0.05 }\times10^{44}$	$\rm 8.64_{-0.07 }^{+0.07 }\times10^{44}$	$\rm 9.21_{-0.08 }^{+0.08 }\times10^{44}$	563.3/454
6	A2204	$\rm 9.1_{-0.8 }^{+0.8 }$	$\rm 6.68_{-0.27 }^{+0.28 }$	$\rm0.34_{-0.04 }^{+0.05 }$	$\rm 4.11_{-0.07 }^{+0.07 }\times10^{-2}$	$\rm 3.18 \times10^{-11}$	$\rm 2.05_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 3.56_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 3.65_{-0.03 }^{+0.03 }\times10^{45}$	496.9/487
7	A2104	$\rm 18.3_{-1.2 }^{+1.3 }$	$\rm 7.66_{-0.43 }^{+0.49 }$	$\rm0.23_{-0.05 }^{+0.05 }$	$\rm 1.33_{-0.03 }^{+0.03 }\times10^{-2}$	$\rm 1.05 \times10^{-11}$	$\rm 7.08_{-0.09 }^{+0.07 }\times10^{44}$	$\rm 1.22_{-0.01 }^{+0.01 }\times10^{45}$	$\rm 1.32_{-0.01 }^{+0.01 }\times10^{45}$	468.7/476
8	RX J1050.5-0236	$\rm 7.7_{-1.6 }^{+1.6 }$	$\rm 2.67_{-0.13 }^{+0.13 }$	$\rm0.58_{-0.12 }^{+0.14 }$	$\rm 5.46_{-0.36 }^{+0.39 }\times10^{-3}$	$\rm 1.99 \times10^{-12}$	$\rm 1.69_{-0.05 }^{+0.04 }\times10^{44}$	$\rm 3.98_{-0.06 }^{+0.06 }\times10^{44}$	$\rm 3.60_{-0.06 }^{+0.06 }\times10^{44}$	213/172
9	A586	$\rm 6.7_{-2.4 }^{+2.4 }$	$\rm 6.96_{-0.83 }^{+0.99 }$	$\rm0.23_{-0.12 }^{+0.13 }$	$\rm 1.08_{-0.06 }^{+0.06 }\times10^{-2}$	$\rm 8.00 \times10^{-12}$	$\rm 6.64_{-0.22 }^{+0.18 }\times10^{44}$	$\rm 1.16_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 1.18_{-0.03 }^{+0.03 }\times10^{45}$	130.8/137
10	A2218	$\rm 1.0_{-1.0 }^{+1.2 }$	$\rm 7.63_{-0.49 }^{+0.58 }$	$\rm0.16_{-0.06 }^{+0.06 }$	$\rm 1.03_{-0.02 }^{+0.03 }\times10^{-2}$	$\rm 7.85 \times10^{-12}$	$\rm 6.77_{-0.09 }^{+0.10 }\times10^{44}$	$\rm 1.17_{-0.01 }^{+0.02 }\times10^{45}$	$\rm 1.21_{-0.01 }^{+0.02 }\times10^{45}$	391.4/370
11	MS0906.5+1110	$\rm 7.7_{-1.7 }^{+1.8 }$	$\rm 5.15_{-0.36 }^{+0.38 }$	$\rm0.43_{-0.09 }^{+0.10 }$	$\rm 1.05_{-0.04 }^{+0.04 }\times10^{-2}$	$\rm 6.69 \times10^{-12}$	$\rm 6.42_{-0.12 }^{+0.11 }\times10^{44}$	$\rm 1.16_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 1.06_{-0.02 }^{+0.02 }\times10^{45}$	240/223
12	A665	$\rm 11.7_{-0.9 }^{+0.9 }$	$\rm 6.96_{-0.27 }^{+0.28 }$	$\rm0.21_{-0.04 }^{+0.04 }$	$\rm 1.66_{-0.03 }^{+0.03 }\times10^{-2}$	$\rm 1.19 \times10^{-11}$	$\rm 1.13_{-0.01 }^{+0.01 }\times10^{45}$	$\rm 1.98_{-0.01 }^{+0.01 }\times10^{45}$	$\rm 1.99_{-0.01 }^{+0.01 }\times10^{45}$	729.6/570
13	A1689	$\rm 3.0_{-0.8 }^{+0.8 }$	$\rm 9.31_{-0.38 }^{+0.45 }$	$\rm0.27_{-0.05 }^{+0.05 }$	$\rm 2.46_{-0.04 }^{+0.04 }\times10^{-2}$	$\rm 2.09 \times10^{-11}$	$\rm 1.95_{-0.02 }^{+0.01 }\times10^{45}$	$\rm 3.32_{-0.03 }^{+0.02 }\times10^{45}$	$\rm 3.44_{-0.03 }^{+0.02 }\times10^{45}$	618.2/566
14	MS0440.5+0204	$\rm 7.3_{-4.7 }^{+4.9 }$	$\rm 5.46_{-0.79 }^{+1.05 }$	$\rm0.20_{-0.15 }^{+0.16 }$	$\rm 3.50_{-0.26 }^{+0.28 }\times10^{-3}$	$\rm 2.09 \times10^{-12}$	$\rm 2.25_{-0.06 }^{+0.07 }\times10^{44}$	$\rm 4.11_{-0.10 }^{+0.10 }\times10^{44}$	$\rm 3.77_{-0.09 }^{+0.09 }\times10^{44}$	140.6/125
15	A1246	$\rm 6.7_{-1.5 }^{+1.5 }$	$\rm 5.71_{-0.36 }^{+0.46 }$	$\rm0.23_{-0.07 }^{+0.07 }$	$\rm 7.35_{-0.26 }^{+0.27 }\times10^{-3}$	$\rm 4.62 \times10^{-12}$	$\rm 4.95_{-0.08 }^{+0.10 }\times10^{44}$	$\rm 8.91_{-0.11 }^{+0.14 }\times10^{44}$	$\rm 7.75_{-0.10 }^{+0.12 }\times10^{44}$	361.4/294
16	MS0839.8+2938	$\rm 11.0_{-2.0 }^{+2.1 }$	$\rm 3.43_{-0.21 }^{+0.22 }$	$\rm0.45_{-0.11 }^{+0.12 }$	$\rm 4.61_{-0.26 }^{+0.28 }\times10^{-3}$	$\rm 1.95 \times10^{-12}$	$\rm 2.37_{-0.07 }^{+0.06 }\times10^{44}$	$\rm 4.90_{-0.10 }^{+0.08 }\times10^{44}$	$\rm 4.51_{-0.09 }^{+0.08 }\times10^{44}$	202.2/181
17	A115	$\rm 7.0_{-1.3 }^{+1.2 }$	$\rm 5.83_{-0.30 }^{+0.47 }$	$\rm0.22_{-0.06 }^{+0.06 }$	$\rm 1.29_{-0.04 }^{+0.04 }\times10^{-2}$	$\rm 8.12 \times10^{-12}$	$\rm 9.44_{-0.13 }^{+0.15 }\times10^{44}$	$\rm 1.69_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 1.35_{-0.02 }^{+0.02 }\times10^{45}$	392.7/348
18	MS0451.5+0250	$\rm 7.9_{-1.8 }^{+1.9 }$	$\rm 8.73_{-0.91 }^{+1.02 }$	$\rm0.12_{-0.09 }^{+0.09 }$	$\rm 1.10_{-0.04 }^{+0.04 }\times10^{-2}$	$\rm 8.43 \times10^{-12}$	$\rm 9.58_{-0.21 }^{+0.17 }\times10^{44}$	$\rm 1.65_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 1.75_{-0.03 }^{+0.03 }\times10^{45}$	214.6/220
19	A2163	$\rm 17.4_{-1.0 }^{+1.1 }$	$\rm 10.95_{-0.62 }^{+0.63 }$	$\rm0.21_{-0.05 }^{+0.05 }$	$\rm 3.75_{-0.06 }^{+0.06 }\times10^{-2}$	$\rm 3.17 \times10^{-11}$	$\rm 3.71_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 6.31_{-0.05 }^{+0.05 }\times10^{45}$	$\rm 6.77_{-0.06 }^{+0.06 }\times10^{45}$	563.2/547
20	A963	$\rm0.5_{-0.5 }^{+1.3 }$	$\rm 6.83_{-0.51 }^{+0.51 }$	$\rm0.34_{-0.09 }^{+0.09 }$	$\rm 8.24_{-0.27 }^{+0.29 }\times10^{-3}$	$\rm 5.92 \times10^{-12}$	$\rm 7.39_{-0.13 }^{+0.13 }\times10^{44}$	$\rm 1.29_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 1.20_{-0.02 }^{+0.02 }\times10^{45}$	238.2/257
21	ZW2701	$\rm 11.2_{-2.2 }^{+2.3 }$	$\rm 4.01_{-0.29 }^{+0.31 }$	$\rm0.27_{-0.10 }^{+0.10 }$	$\rm 7.40_{-0.36 }^{+0.37 }\times10^{-3}$	$\rm 3.27 \times10^{-12}$	$\rm 4.89_{-0.11 }^{+0.10 }\times10^{44}$	$\rm 9.60_{-0.17 }^{+0.15 }\times10^{44}$	$\rm 8.56_{-0.15 }^{+0.13 }\times10^{44}$	246.5/201
22	A1851	$\rm 1.1_{-1.1 }^{+4.3 }$	$\rm 4.76_{-0.63 }^{+0.68 }$	$\rm0.32_{-0.17 }^{+0.19 }$	$\rm 2.94_{-0.19 }^{+0.26 }\times10^{-3}$	$\rm 1.59 \times10^{-12}$	$\rm 2.30_{-0.08 }^{+0.08 }\times10^{44}$	$\rm 4.27_{-0.09 }^{+0.11 }\times10^{44}$	$\rm 3.66_{-0.08 }^{+0.09 }\times10^{44}$	158.6/126
23	MS0735.6+7421	$\rm 11.9_{-2.5 }^{+2.7 }$	$\rm 4.51_{-0.38 }^{+0.50 }$	$\rm0.31_{-0.12 }^{+0.13 }$	$\rm 8.23_{-0.49 }^{+0.52 }\times10^{-3}$	$\rm 4.14 \times10^{-12}$	$\rm 6.17_{-0.15 }^{+0.18 }\times10^{44}$	$\rm 1.17_{-0.02 }^{+0.03 }\times10^{45}$	$\rm 9.56_{-0.20 }^{+0.22 }\times10^{44}$	103/134
24	A773	$\rm 4.9_{-1.2 }^{+1.2 }$	$\rm 8.07_{-0.66 }^{+0.70 }$	$\rm0.22_{-0.07 }^{+0.07 }$	$\rm 8.87_{-0.25 }^{+0.25 }\times10^{-3}$	$\rm 6.54 \times10^{-12}$	$\rm 9.07_{-0.16 }^{+0.14 }\times10^{44}$	$\rm 1.57_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 1.56_{-0.02 }^{+0.02 }\times10^{45}$	323.4/327
25	A1704	$\rm 5.0_{-2.2 }^{+2.3 }$	$\rm 4.40_{-0.35 }^{+0.43 }$	$\rm0.39_{-0.12 }^{+0.13 }$	$\rm 6.77_{-0.37 }^{+0.40 }\times10^{-3}$	$\rm 3.43 \times10^{-12}$	$\rm 5.33_{-0.11 }^{+0.15 }\times10^{44}$	$\rm 1.01_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 8.47_{-0.18 }^{+0.18 }\times10^{44}$	160.7/158
26	MS1006+1202	$\rm 5.3_{-2.6 }^{+2.8 }$	$\rm 6.42_{-0.82 }^{+0.97 }$	$\rm0.28_{-0.14 }^{+0.14 }$	$\rm 4.85_{-0.27 }^{+0.28 }\times10^{-3}$	$\rm 3.18 \times10^{-12}$	$\rm 4.74_{-0.16 }^{+0.12 }\times10^{44}$	$\rm 8.34_{-0.23 }^{+0.19 }\times10^{44}$	$\rm 8.11_{-0.22 }^{+0.18 }\times10^{44}$	125.9/140
27	A2261	$\rm 9.8_{-1.5 }^{+1.6 }$	$\rm 6.56_{-0.48 }^{+0.49 }$	$\rm0.28_{-0.07 }^{+0.07 }$	$\rm 1.48_{-0.05 }^{+0.05 }\times10^{-2}$	$\rm 9.73 \times10^{-12}$	$\rm 1.50_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 2.63_{-0.04 }^{+0.04 }\times10^{45}$	$\rm 2.39_{-0.03 }^{+0.03 }\times10^{45}$	255.6/280
28	A1942	$\rm 2.3_{-2.3 }^{+2.5 }$	$\rm 5.58_{-0.66 }^{+0.94 }$	$\rm0.24_{-0.14 }^{+0.14 }$	$\rm 3.14_{-0.20 }^{+0.21 }\times10^{-3}$	$\rm 1.83 \times10^{-12}$	$\rm 2.85_{-0.09 }^{+0.10 }\times10^{44}$	$\rm 5.15_{-0.14 }^{+0.13 }\times10^{44}$	$\rm 3.89_{-0.10 }^{+0.10 }\times10^{44}$	147.8/155
29	A2219	$\rm 6.4_{-1.3 }^{+1.3 }$	$\rm 9.22_{-0.59 }^{+0.74 }$	$\rm0.23_{-0.07 }^{+0.07 }$	$\rm 2.01_{-0.05 }^{+0.05 }\times10^{-2}$	$\rm 1.56 \times10^{-11}$	$\rm 2.33_{-0.02 }^{+0.03 }\times10^{45}$	$\rm 4.00_{-0.04 }^{+0.05 }\times10^{45}$	$\rm 3.89_{-0.04 }^{+0.04 }\times10^{45}$	462.5/400
30	A1895	$\rm 10.1_{-2.6 }^{+3.1 }$	$\rm 4.92_{-0.56 }^{+0.62 }$	$\rm0.33_{-0.13 }^{+0.14 }$	$\rm 4.88_{-0.30 }^{+0.35 }\times10^{-3}$	$\rm 2.63 \times10^{-12}$	$\rm 4.30_{-0.15 }^{+0.12 }\times10^{44}$	$\rm 7.92_{-0.22 }^{+0.17 }\times10^{44}$	$\rm 7.17_{-0.20 }^{+0.16 }\times10^{44}$	120/137
31	A2390	$\rm 11.5_{-2.7 }^{+2.8 }$	$\rm 9.21_{-1.04 }^{+1.37 }$	$\rm0.19_{-0.11 }^{+0.11 }$	$\rm 2.20_{-0.09 }^{+0.10 }\times10^{-2}$	$\rm 1.67 \times10^{-11}$	$\rm 2.56_{-0.04 }^{+0.05 }\times10^{45}$	$\rm 4.40_{-0.07 }^{+0.08 }\times10^{45}$	$\rm 4.08_{-0.07 }^{+0.08 }\times10^{45}$	185.1/175
32	A1763	$\rm 5.3_{-1.5 }^{+1.6 }$	$\rm 8.11_{-0.63 }^{+0.66 }$	$\rm0.28_{-0.07 }^{+0.07 }$	$\rm 1.05_{-0.03 }^{+0.03 }\times10^{-2}$	$\rm 7.77 \times10^{-12}$	$\rm 1.21_{-0.02 }^{+0.01 }\times10^{45}$	$\rm 2.08_{-0.03 }^{+0.02 }\times10^{45}$	$\rm 1.84_{-0.03 }^{+0.02 }\times10^{45}$	368.1/362
33	A2111	$\rm 7.9_{-1.9 }^{+1.9 }$	$\rm 6.94_{-0.67 }^{+0.76 }$	$\rm0.20_{-0.10 }^{+0.10 }$	$\rm 6.04_{-0.24 }^{+0.25 }\times10^{-3}$	$\rm 3.98 \times10^{-12}$	$\rm 6.39_{-0.15 }^{+0.12 }\times10^{44}$	$\rm 1.12_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 9.50_{-0.20 }^{+0.17 }\times10^{44}$	219.9/233
34	A267	$\rm 14.2_{-2.1 }^{+2.2 }$	$\rm 5.51_{-0.41 }^{+0.44 }$	$\rm0.22_{-0.08 }^{+0.08 }$	$\rm 7.52_{-0.32 }^{+0.33 }\times10^{-3}$	$\rm 4.20 \times10^{-12}$	$\rm 7.09_{-0.14 }^{+0.12 }\times10^{44}$	$\rm 1.28_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 1.20_{-0.02 }^{+0.02 }\times10^{45}$	304.2/254
35	A2667	$\rm 6.6_{-1.1 }^{+1.0 }$	$\rm 5.94_{-0.25 }^{+0.42 }$	$\rm0.28_{-0.06 }^{+0.05 }$	$\rm 1.60_{-0.04 }^{+0.04 }\times10^{-2}$	$\rm 9.84 \times10^{-12}$	$\rm 1.63_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 2.89_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 2.63_{-0.03 }^{+0.03 }\times10^{45}$	454.2/410
36	A1682	$\rm 7.4_{-1.8 }^{+1.9 }$	$\rm 6.42_{-0.60 }^{+0.63 }$	$\rm0.24_{-0.09 }^{+0.09 }$	$\rm 6.18_{-0.24 }^{+0.24 }\times10^{-3}$	$\rm 3.90 \times10^{-12}$	$\rm 6.62_{-0.14 }^{+0.13 }\times10^{44}$	$\rm 1.17_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 1.10_{-0.02 }^{+0.02 }\times10^{45}$	255.3/250
37	RX J2129.3+0005	$\rm 8.0_{-1.3 }^{+1.4 }$	$\rm 5.72_{-0.30 }^{+0.38 }$	$\rm0.36_{-0.07 }^{+0.07 }$	$\rm 1.09_{-0.03 }^{+0.03 }\times10^{-2}$	$\rm 6.63 \times10^{-12}$	$\rm 1.16_{-0.01 }^{+0.02 }\times10^{45}$	$\rm 2.06_{-0.02 }^{+0.03 }\times10^{45}$	$\rm 1.83_{-0.02 }^{+0.02 }\times10^{45}$	314.5/324
38	MS1910+6736	$\rm 12.9_{-3.5 }^{+4.1 }$	$\rm 3.96_{-0.50 }^{+0.55 }$	$\rm0.47_{-0.21 }^{+0.25 }$	$\rm 3.12_{-0.26 }^{+0.28 }\times10^{-3}$	$\rm 1.39 \times10^{-12}$	$\rm 2.89_{-0.11 }^{+0.09 }\times10^{44}$	$\rm 5.60_{-0.16 }^{+0.14 }\times10^{44}$	$\rm 4.10_{-0.12 }^{+0.10 }\times10^{44}$	110.5/107
39	A1835	$\rm 5.6_{-1.2 }^{+1.2 }$	$\rm 7.42_{-0.43 }^{+0.61 }$	$\rm0.26_{-0.06 }^{+0.06 }$	$\rm 2.18_{-0.06 }^{+0.06 }\times10^{-2}$	$\rm 1.47 \times10^{-11}$	$\rm 2.92_{-0.04 }^{+0.04 }\times10^{45}$	$\rm 5.07_{-0.06 }^{+0.07 }\times10^{45}$	$\rm 4.81_{-0.06 }^{+0.07 }\times10^{45}$	377.6/334
40	RX J1023.8-2715	$\rm 11.2_{-1.6 }^{+1.7 }$	$\rm 5.74_{-0.36 }^{+0.45 }$	$\rm0.27_{-0.07 }^{+0.07 }$	$\rm 1.43_{-0.05 }^{+0.05 }\times10^{-2}$	$\rm 8.07 \times10^{-12}$	$\rm 1.68_{-0.02 }^{+0.03 }\times10^{45}$	$\rm 3.01_{-0.04 }^{+0.05 }\times10^{45}$	$\rm 2.67_{-0.04 }^{+0.05 }\times10^{45}$	252.2/250
41	A68	$\rm 16.4_{-2.1 }^{+2.2 }$	$\rm 6.93_{-0.59 }^{+0.63 }$	$\rm0.28_{-0.08 }^{+0.08 }$	$\rm 7.33_{-0.29 }^{+0.30 }\times10^{-3}$	$\rm 4.67 \times10^{-12}$	$\rm 9.69_{-0.18 }^{+0.16 }\times10^{44}$	$\rm 1.69_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 1.56_{-0.03 }^{+0.02 }\times10^{45}$	291/262
42	MS1455.0+2232	$\rm 6.4_{-1.5 }^{+1.6 }$	$\rm 4.40_{-0.24 }^{+0.26 }$	$\rm0.34_{-0.08 }^{+0.08 }$	$\rm 9.99_{-0.38 }^{+0.39 }\times10^{-3}$	$\rm 4.59 \times10^{-12}$	$\rm 1.04_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 1.97_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 1.83_{-0.03 }^{+0.02 }\times10^{45}$	242.9/253
43	A1758	$\rm 9.6_{-2.7 }^{+2.8 }$	$\rm 6.88_{-0.75 }^{+0.86 }$	$\rm0.20_{-0.10 }^{+0.10 }$	$\rm 8.84_{-0.45 }^{+0.46 }\times10^{-3}$	$\rm 5.28 \times10^{-12}$	$\rm 1.34_{-0.03 }^{+0.02 }\times10^{45}$	$\rm 2.36_{-0.05 }^{+0.04 }\times10^{45}$	$\rm 2.36_{-0.05 }^{+0.04 }\times10^{45}$	213.4/175
44	A483	$\rm 7.7_{-3.2 }^{+3.5 }$	$\rm 4.71_{-0.54 }^{+0.73 }$	$\rm0.18_{-0.14 }^{+0.16 }$	$\rm 3.12_{-0.22 }^{+0.26 }\times10^{-3}$	$\rm 1.37 \times10^{-12}$	$\rm 3.76_{-0.11 }^{+0.13 }\times10^{44}$	$\rm 7.05_{-0.21 }^{+0.18 }\times10^{44}$	$\rm 6.90_{-0.21 }^{+0.17 }\times10^{44}$	145.2/136
45	A697	$\rm 13.1_{-1.7 }^{+1.8 }$	$\rm 8.19_{-0.60 }^{+0.62 }$	$\rm0.23_{-0.22 }^{+0.22 }$	$\rm 1.22_{-1.22 }^{+1.22 }\times10^{-2}$	$\rm 7.87 \times10^{-12}$	$\rm 2.00_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 3.45_{-0.04 }^{+0.04 }\times10^{45}$	$\rm 3.09_{-0.04 }^{+0.04 }\times10^{45}$	542.6/415
46	1E0657-56	$\rm 11.2_{-1.4 }^{+1.4 }$	$\rm 11.83_{-0.74 }^{+1.14 }$	$\rm0.16_{-0.07 }^{+0.06 }$	$\rm 1.86_{-0.04 }^{+0.04 }\times10^{-2}$	$\rm 1.40 \times10^{-11}$	$\rm 3.76_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 6.45_{-0.05 }^{+0.06 }\times10^{45}$	$\rm 6.51_{-0.05 }^{+0.06 }\times10^{45}$	631.3/511
47	MS1008.1-1224	$\rm 5.3_{-3.8 }^{+4.4 }$	$\rm 7.80_{-1.60 }^{+2.33 }$	$\rm0.64_{-0.27 }^{+0.30 }$	$\rm 2.76_{-0.25 }^{+0.28 }\times10^{-3}$	$\rm 1.98 \times10^{-12}$	$\rm 5.83_{-0.21 }^{+0.21 }\times10^{44}$	$\rm 9.89_{-0.38 }^{+0.38 }\times10^{44}$	$\rm 9.05_{-0.35 }^{+0.34 }\times10^{44}$	92.9/78
48	MS1147.3+1103	$\rm 12.0_{-5.1 }^{+5.8 }$	$\rm 5.27_{-1.00 }^{+1.40 }$	$\rm0.34_{-0.23 }^{+0.26 }$	$\rm 2.05_{-0.22 }^{+0.24 }\times10^{-3}$	$\rm 1.01 \times10^{-12}$	$\rm 3.26_{-0.13 }^{+0.12 }\times10^{44}$	$\rm 5.90_{-0.25 }^{+0.20 }\times10^{44}$	$\rm 3.80_{-0.16 }^{+0.13 }\times10^{44}$	64.5/83
49	RX J1131.9-1955	$\rm 8.2_{-1.4 }^{+1.4 }$	$\rm 8.33_{-0.67 }^{+0.70 }$	$\rm0.14_{-0.07 }^{+0.07 }$	$\rm 8.42_{-0.24 }^{+0.25 }\times10^{-3}$	$\rm 5.27 \times10^{-12}$	$\rm 1.62_{-0.03 }^{+0.02 }\times10^{45}$	$\rm 2.81_{-0.05 }^{+0.04 }\times10^{45}$	$\rm 2.18_{-0.04 }^{+0.03 }\times10^{45}$	321.2/340
50	AC118	$\rm 7.4_{-1.3 }^{+1.3 }$	$\rm 8.95_{-0.56 }^{+0.57 }$	$\rm0.17_{-0.06 }^{+0.06 }$	$\rm 1.04_{-0.02 }^{+0.02 }\times10^{-2}$	$\rm 6.83 \times10^{-12}$	$\rm 2.09_{-0.02 }^{+0.02 }\times10^{45}$	$\rm 3.60_{-0.04 }^{+0.04 }\times10^{45}$	$\rm 3.46_{-0.04 }^{+0.04 }\times10^{45}$	411.6/425
51	MS0811.6+6301	$\rm 12.2_{-6.2 }^{+8.3 }$	$\rm 3.85_{-0.83 }^{+1.17 }$	$\rm0.56_{-0.41 }^{+0.66 }$	$\rm 1.39_{-0.21 }^{+0.26 }\times10^{-3}$	$\rm 5.40 \times10^{-13}$	$\rm 2.01_{-0.12 }^{+0.12 }\times10^{44}$	$\rm 3.88_{-0.15 }^{+0.20 }\times10^{44}$	$\rm 2.87_{-0.11 }^{+0.15 }\times10^{44}$	69.1/64
52	MS1241.5+1710	$\rm 5.5_{-5.5 }^{+4.0 }$	$\rm 6.90_{-2.02 }^{+2.50 }$	$\rm0.00(<0.28)$	$\rm 1.49_{-0.18 }^{+0.26 }\times10^{-3}$	$\rm 7.86 \times10^{-13}$	$\rm 2.54_{-0.15 }^{+0.33 }\times10^{44}$	$\rm 4.53_{-0.24 }^{+0.49 }\times10^{44}$	$\rm 4.21_{-0.22 }^{+0.46 }\times10^{44}$	47.4/51
53	AC114	$\rm 7.8_{-1.7 }^{+1.9 }$	$\rm 7.85_{-0.80 }^{+0.91 }$	$\rm0.16_{-0.09 }^{+0.09 }$	$\rm 5.91_{-0.23 }^{+0.25 }\times10^{-3}$	$\rm 3.59 \times10^{-12}$	$\rm 1.16_{-0.03 }^{+0.02 }\times10^{45}$	$\rm 2.01_{-0.05 }^{+0.04 }\times10^{45}$	$\rm 1.52_{-0.04 }^{+0.03 }\times10^{45}$	300.1/227
54	MS2137.3-2353	$\rm 5.7_{-2.2 }^{+2.4 }$	$\rm 4.66_{-0.39 }^{+0.53 }$	$\rm0.46_{-0.13 }^{+0.14 }$	$\rm 6.90_{-0.41 }^{+0.45 }\times10^{-3}$	$\rm 3.16 \times10^{-12}$	$\rm 1.13_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 2.07_{-0.05 }^{+0.05 }\times10^{45}$	$\rm 1.93_{-0.05 }^{+0.04 }\times10^{45}$	116.3/130
55	A1995	$\rm 3.4_{-2.4 }^{+2.6 }$	$\rm 9.06_{-1.32 }^{+1.77 }$	$\rm0.17_{-0.15 }^{+0.14 }$	$\rm 4.78_{-0.25 }^{+0.26 }\times10^{-3}$	$\rm 3.13 \times10^{-12}$	$\rm 1.03_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 1.77_{-0.04 }^{+0.05 }\times10^{45}$	$\rm 1.72_{-0.04 }^{+0.05 }\times10^{45}$	171/159
56	CL0500-24	$\rm 2.6$(F)	$\rm 7.12_{-1.70 }^{+3.54 }$	$\rm0.53_{-0.53 }^{+0.96 }$	$\rm 4.30_{-0.79 }^{+0.77 }\times10^{-4}$	$\rm 2.77 \times10^{-13}$	$\rm 9.71_{-0.58 }^{+0.69 }\times10^{43}$	$\rm 1.68_{-0.06 }^{+0.13 }\times10^{44}$	$\rm 1.01_{-0.03 }^{+0.08 }\times10^{44}$	24.5/26
57	A402	$\rm 6.0_{-4.9 }^{+5.0 }$	$\rm 6.69_{-0.92 }^{+1.11 }$	$\rm0.27_{-0.13 }^{+0.14 }$	$\rm 4.80_{-0.34 }^{+0.35 }\times10^{-3}$	$\rm 2.69 \times10^{-12}$	$\rm 9.58_{-0.17 }^{+0.22 }\times10^{44}$	$\rm 1.67_{-0.04 }^{+0.04 }\times10^{45}$	$\rm 1.42_{-0.04 }^{+0.04 }\times10^{45}$	124.9/140
58	MS1224.7+2007	$\rm0.0(<6.9)$	$\rm 4.71_{-1.03 }^{+1.11 }$	$\rm0.29_{-0.29 }^{+0.41 }$	$\rm 2.11_{-0.23 }^{+0.35 }\times10^{-3}$	$\rm 8.99 \times10^{-13}$	$\rm 3.56_{-0.19 }^{+0.16 }\times10^{44}$	$\rm 6.56_{-0.30 }^{+0.30 }\times10^{44}$	$\rm 4.49_{-0.20 }^{+0.20 }\times10^{44}$	37.7/45
59	A1722	$\rm0.0(<0.5)$	$\rm 5.81_{-0.39 }^{+0.59 }$	$\rm0.41_{-0.12 }^{+0.12 }$	$\rm 3.73_{-0.15 }^{+0.16 }\times10^{-3}$	$\rm 1.99 \times10^{-12}$	$\rm 7.52_{-0.17 }^{+0.19 }\times10^{44}$	$\rm 1.32_{-0.02 }^{+0.03 }\times10^{45}$	$\rm 1.01_{-0.02 }^{+0.02 }\times10^{45}$	203.2/188
60	CL1358+6245	$\rm 6.6_{-2.2 }^{+2.3 }$	$\rm 5.49_{-0.52 }^{+0.62 }$	$\rm0.35_{-0.11 }^{+0.12 }$	$\rm 3.89_{-0.22 }^{+0.23 }\times10^{-3}$	$\rm 1.92 \times10^{-12}$	$\rm 7.39_{-0.16 }^{+0.21 }\times10^{44}$	$\rm 1.32_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 9.43_{-0.21 }^{+0.24 }\times10^{44}$	182.6/177
61	CL2244-02	$\rm 4.8$(F)	$\rm 6.47_{-1.23 }^{+1.86 }$	$\rm0.00(<0.21)$	$\rm 9.14_{-1.15 }^{+1.19 }\times10^{-4}$	$\rm 4.46 \times10^{-13}$	$\rm 1.71_{-0.22 }^{+0.23 }\times10^{44}$	$\rm 3.04_{-0.37 }^{+0.37 }\times10^{44}$	$\rm 7.71_{-0.94 }^{+0.93 }\times10^{43}$	72.2/58
62	RX J1532.9+3021	$\rm 9.4_{-1.3 }^{+1.3 }$	$\rm 4.91_{-0.30 }^{+0.29 }$	$\rm0.34_{-0.07 }^{+0.07 }$	$\rm 1.02_{-0.03 }^{+0.03 }\times10^{-2}$	$\rm 4.38 \times10^{-12}$	$\rm 1.98_{-0.03 }^{+0.03 }\times10^{45}$	$\rm 3.60_{-0.05 }^{+0.05 }\times10^{45}$	$\rm 3.29_{-0.05 }^{+0.05 }\times10^{45}$	379.3/305
63	A959	$\rm 7.2_{-3.8 }^{+4.0 }$	$\rm 5.24_{-0.73 }^{+0.89 }$	$\rm0.07_{-0.07 }^{+0.15 }$	$\rm 3.78_{-0.31 }^{+0.33 }\times10^{-3}$	$\rm 1.52 \times10^{-12}$	$\rm 7.14_{-0.21 }^{+0.31 }\times10^{44}$	$\rm 1.31_{-0.04 }^{+0.05 }\times10^{45}$	$\rm 7.46_{-0.20 }^{+0.29 }\times10^{44}$	107.9/110
64	MS1512.4+3647	$\rm 9.0_{-9.0 }^{+9.3 }$	$\rm 2.85_{-0.49 }^{+0.91 }$	$\rm 1.05_{-0.67 }^{+1.34 }$	$\rm 1.35_{-0.37 }^{+0.34 }\times10^{-3}$	$\rm 3.92 \times10^{-13}$	$\rm 2.47_{-0.11 }^{+0.16 }\times10^{44}$	$\rm 5.37_{-0.42 }^{+0.27 }\times10^{44}$	$\rm 4.10_{-0.32 }^{+0.20 }\times10^{44}$	53.2/47
65	A370	$\rm 3.1$(F)	$\rm 6.62_{-0.87 }^{+1.08 }$	$\rm0.31_{-0.19 }^{+0.20 }$	$\rm 3.45_{-0.24 }^{+0.24 }\times10^{-3}$	$\rm 1.79 \times10^{-12}$	$\rm 9.15_{-0.31 }^{+0.37 }\times10^{44}$	$\rm 1.59_{-0.06 }^{+0.07 }\times10^{45}$	$\rm 1.08_{-0.04 }^{+0.05 }\times10^{45}$	118.4/124
66	CL0024+17	$\rm 4.2$(F)	$\rm 5.66_{-1.94 }^{+4.89 }$	$\rm0.30$(F)	$\rm 4.18_{-4.18 }^{+6.74 }\times10^{-4}$	$\rm 1.86 \times10^{-13}$	$\rm 1.11_{-0.25 }^{+0.23 }\times10^{44}$	$\rm 1.93_{-0.32 }^{+0.34 }\times10^{44}$	$\rm 1.02_{-0.17 }^{+0.18 }\times10^{44}$	3.6/5
67	A851	$\rm 7.3_{-4.8 }^{+4.8 }$	$\rm 7.17_{-1.38 }^{+2.08 }$	$\rm0.17_{-0.17 }^{+0.20 }$	$\rm 2.08_{-0.19 }^{+0.21 }\times10^{-3}$	$\rm 1.02 \times10^{-12}$	$\rm 6.36_{-0.25 }^{+0.24 }\times10^{44}$	$\rm 1.10_{-0.04 }^{+0.04 }\times10^{45}$	$\rm 5.21_{-0.21 }^{+0.20 }\times10^{44}$	131.8/118
68	MS0302.7+1658	$\rm 17.8_{-9.6 }^{+10.9 }$	$\rm 5.60_{-1.57 }^{+2.88 }$	$\rm0.11_{-0.11 }^{+0.33 }$	$\rm 1.59_{-0.26 }^{+0.35 }\times10^{-3}$	$\rm 6.03 \times10^{-13}$	$\rm 4.50_{-0.25 }^{+0.39 }\times10^{44}$	$\rm 8.02_{-0.50 }^{+0.61 }\times10^{44}$	$\rm 5.61_{-0.35 }^{+0.43 }\times10^{44}$	89.1/73
69	MS1621.5+2640	$\rm 9.3_{-4.4 }^{+4.6 }$	$\rm 5.66_{-0.94 }^{+1.42 }$	$\rm0.47_{-0.23 }^{+0.25 }$	$\rm 1.98_{-0.20 }^{+0.21 }\times10^{-3}$	$\rm 8.81 \times10^{-13}$	$\rm 6.44_{-0.26 }^{+0.23 }\times10^{44}$	$\rm 1.12_{-0.04 }^{+0.04 }\times10^{45}$	$\rm 5.56_{-0.22 }^{+0.18 }\times10^{44}$	121.6/101
70	RX J1347.5-1145	$\rm 9.7_{-1.3 }^{+1.3 }$	$\rm 10.78_{-0.74 }^{+0.77 }$	$\rm0.32_{-0.07 }^{+0.07 }$	$\rm 1.63_{-0.04 }^{+0.04 }\times10^{-2}$	$\rm 9.86 \times10^{-12}$	$\rm 7.19_{-0.07 }^{+0.06 }\times10^{45}$	$\rm 1.21_{-0.01 }^{+0.01 }\times10^{46}$	$\rm 1.13_{-0.01 }^{+0.01 }\times10^{46}$	508.2/406
71	3C 295	$\rm 2.5_{-2.5 }^{+4.0 }$	$\rm 6.27_{-1.23 }^{+1.25 }$	$\rm0.40_{-0.19 }^{+0.24 }$	$\rm 2.39_{-0.19 }^{+0.25 }\times10^{-3}$	$\rm 1.07 \times10^{-12}$	$\rm 9.31_{-0.38 }^{+0.38 }\times10^{44}$	$\rm 1.60_{-0.06 }^{+0.06 }\times10^{45}$	$\rm 1.55_{-0.05 }^{+0.06 }\times10^{45}$	114.3/103
72	CL0016+16	$\rm 14.6_{-2.4 }^{+2.6 }$	$\rm 7.87_{-0.82 }^{+0.91 }$	$\rm0.20_{-0.09 }^{+0.09 }$	$\rm 5.48_{-0.25 }^{+0.29 }\times10^{-3}$	$\rm 2.35 \times10^{-12}$	$\rm 2.89_{-0.05 }^{+0.06 }\times10^{45}$	$\rm 4.91_{-0.10 }^{+0.11 }\times10^{45}$	$\rm 3.77_{-0.08 }^{+0.08 }\times10^{45}$	263.9/236
73	MS0451.6-0305	$\rm 1.3_{-1.3 }^{+3.3 }$	$\rm 9.44_{-1.58 }^{+2.09 }$	$\rm0.29_{-0.18 }^{+0.19 }$	$\rm 4.30_{-0.29 }^{+0.33 }\times10^{-3}$	$\rm 2.13 \times10^{-12}$	$\rm 2.56_{-0.07 }^{+0.07 }\times10^{45}$	$\rm 4.30_{-0.13 }^{+0.13 }\times10^{45}$	$\rm 3.68_{-0.11 }^{+0.11 }\times10^{45}$	107.5/114
74	CL2236-04	$\rm 19.6_{-11.7 }^{+13.0 }$	$\rm 3.50_{-0.96 }^{+2.05 }$	$\rm0.28_{-0.28 }^{+0.67 }$	$\rm 1.28_{-0.33 }^{+0.44 }\times10^{-3}$	$\rm 2.36 \times10^{-13}$	$\rm 4.25_{-0.29 }^{+0.56 }\times10^{44}$	$\rm 8.40_{-1.03 }^{+1.26 }\times10^{44}$	$\rm 6.83_{-0.84 }^{+1.03 }\times10^{44}$	30.1/41
75	MS2053.7-0449	$\rm0.0(<8.6)$	$\rm 17.73_{-9.02 }^{+17.53 }$	$\rm0.00(<1.11)$	$\rm 8.67_{-1.53 }^{+0.97 }\times10^{-4}$	$\rm 4.86 \times10^{-13}$	$\rm 5.83_{-0.35 }^{+0.71 }\times10^{44}$	$\rm 9.88_{-0.82 }^{+1.29 }\times10^{44}$	$\rm 9.88_{-0.82 }^{+1.29 }\times10^{44}$	62.7/61
76	3C 220.1	$\rm 1.9$(F)	$\rm 5.56_{-1.08 }^{+1.38 }$	$\rm0.55_{-0.38 }^{+0.48 }$	$\rm 9.23_{-1.19 }^{+1.36 }\times10^{-4}$	$\rm 3.11 \times10^{-13}$	$\rm 5.67_{-0.25 }^{+0.30 }\times10^{44}$	$\rm 9.72_{-0.47 }^{+0.51 }\times10^{44}$	$\rm 9.69_{-0.47 }^{+0.50 }\times10^{44}$	18.2/33
77	MS1137.5+6625	$\rm 4.0_{-4.0 }^{+10.2 }$	$\rm 14.50_{-6.70 }^{+24.74 }$	$\rm 1.28_{-1.08 }^{+3.44 }$	$\rm 7.40_{-2.04 }^{+1.94 }\times10^{-4}$	$\rm 4.03 \times10^{-13}$	$\rm 1.03_{-0.05 }^{+0.06 }\times10^{45}$	$\rm 1.67_{-0.11 }^{+0.13 }\times10^{45}$	$\rm 1.41_{-0.09 }^{+0.11 }\times10^{45}$	46.8/39
78	RX J1716.6+6708	$\rm 22.8_{-13.2 }^{+16.3 }$	$\rm 10.34_{-4.73 }^{+14.25 }$	$\rm0.00(<0.49)$	$\rm 9.30_{-1.82 }^{+3.09 }\times10^{-4}$	$\rm 3.10 \times10^{-13}$	$\rm 9.82_{-0.91 }^{+1.53 }\times10^{44}$	$\rm 1.64_{-0.17 }^{+0.26 }\times10^{45}$	$\rm 1.37_{-0.14 }^{+0.22 }\times10^{45}$	54.1/44
79	MS1054.5-0321	$\rm 5.5_{-3.8 }^{+4.3 }$	$\rm 18.61_{-4.86 }^{+7.08 }$	$\rm0.00(<0.27)$	$\rm 2.20_{-0.15 }^{+0.15 }\times10^{-3}$	$\rm 9.64 \times10^{-13}$	$\rm 2.63_{-0.08 }^{+0.13 }\times10^{45}$	$\rm 4.41_{-0.15 }^{+0.22 }\times10^{45}$	$\rm 4.41_{-0.15 }^{+0.22 }\times10^{45}$	168/163

 

 

Table 5: Cluster parameters for the single $\beta$-model. Columns 3-5 and 8-11, see Sect. 5.2.1 for definitions of the parameters. Column 6, age of the Universe at the cluster redshift. Column 7, X-ray significance radius ($3\sigma$). Columns 8-11, values are for the overdensity of $\Delta _{\rm c}=500$.

							$\Delta _{\rm c}=500$
ID	Cluster	$n_{\rm e0}$	$\rho _0$	$t_{\rm cool}$	$t_{\rm age}$	rX	$r_{\rm 500}$	$M_{\rm 500}$	$M_{\rm gas}$	$f_{\rm gas}$
		$[h_{70}^{1/2} {\rm cm^{-3}}]$	$[h_{70}^{2}~ {\rm g~cm^{-3}}]$	[Gyr]	[Gyr]	$[h_{70}^{-1}~{\rm Mpc}]$	$[h_{70}^{-1}{\rm Mpc}]$	$[h_{70}^{-1}{~M_{\odot}}]$	$[h_{70}^{-5/2}{~M_{\odot}}]$	[h70-3/2]
1	PKS 0745-19	$\rm 8.14_{-0.48 }^{+0.51 } \times 10^{-2}$	$\rm 6.00_{-0.75 }^{+0.89 } \times 10^{-24}$	$\rm0.98_{-0.07 }^{+0.08 }$	12.2	1.43	$\rm 1.07_{-0.03 }^{+0.02 }$	$\rm 3.87_{-0.19 }^{+0.18 } \times 10^{14}$	$\rm 9.60_{-0.31 }^{+0.33 } \times 10^{13}$	$\rm 2.48_{-0.19 }^{+0.22 } \times 10^{-1}$
2	A2811	$\rm 7.72_{-0.87 }^{+0.65 } \times 10^{-3}$	$\rm 2.05_{-0.59 }^{+0.73 } \times 10^{-25}$	$\rm 8.7_{-0.8 }^{+1.3 }$	12.1	0.89	$\rm0.99_{-0.07 }^{+0.10 }$	$\rm 3.06_{-0.42 }^{+0.64 } \times 10^{14}$	$\rm 5.74_{-0.49 }^{+0.58 } \times 10^{13}$	$\rm 1.88_{-0.44 }^{+0.48 } \times 10^{-1}$
3	A1068	$\rm 7.68_{-0.71 }^{+0.63 } \times 10^{-2}$	$\rm 5.26_{-0.98 }^{+1.05 } \times 10^{-24}$	$\rm0.77_{-0.07 }^{+0.09 }$	11.8	1.37	$\rm0.78_{-0.02 }^{+0.02 }$	$\rm 1.54_{-0.07 }^{+0.09 } \times 10^{14}$	$\rm 4.04_{-0.17 }^{+0.15 } \times 10^{13}$	$\rm 2.63_{-0.25 }^{+0.23 } \times 10^{-1}$
4	A1413	$\rm 1.66_{-0.15 }^{+0.14 } \times 10^{-2}$	$\rm 9.09_{-2.31 }^{+2.43 } \times 10^{-25}$	$\rm 5.0_{-0.5 }^{+0.6 }$	11.7	1.64	$\rm 1.08_{-0.04 }^{+0.06 }$	$\rm 4.09_{-0.33 }^{+0.43 } \times 10^{14}$	$\rm 9.28_{-0.39 }^{+0.38 } \times 10^{13}$	$\rm 2.27_{-0.28 }^{+0.28 } \times 10^{-1}$
5	A990	$\rm 5.51_{-0.55 }^{+1.25 } \times 10^{-3}$	$\rm 1.06_{-0.30 }^{+0.92 } \times 10^{-25}$	$\rm 13.4_{-2.7 }^{+1.8 }$	11.7	0.93	$\rm 1.13_{-0.15 }^{+0.20 }$	$\rm 4.77_{-1.17 }^{+1.70 } \times 10^{14}$	$\rm 8.47_{-1.18 }^{+0.92 } \times 10^{13}$	$\rm 1.78_{-0.64 }^{+0.82 } \times 10^{-1}$
6	A2204	$\rm 1.40_{-0.08 }^{+0.08 } \times 10^{-1}$	$\rm 1.28_{-0.19 }^{+0.23 } \times 10^{-23}$	$\rm0.57_{-0.04 }^{+0.05 }$	11.6	2.11	$\rm 1.04_{-0.03 }^{+0.03 }$	$\rm 3.68_{-0.19 }^{+0.21 } \times 10^{14}$	$\rm 1.08_{-0.03 }^{+0.03 } \times 10^{14}$	$\rm 2.92_{-0.23 }^{+0.23 } \times 10^{-1}$
7	A2104	$\rm 6.07_{-0.56 }^{+0.67 } \times 10^{-3}$	$\rm 2.57_{-0.62 }^{+0.97 } \times 10^{-25}$	$\rm 14.2_{-1.7 }^{+1.8 }$	11.5	1.42	$\rm 1.14_{-0.08 }^{+0.08 }$	$\rm 4.92_{-0.65 }^{+0.73 } \times 10^{14}$	$\rm 9.14_{-0.46 }^{+0.62 } \times 10^{13}$	$\rm 1.86_{-0.31 }^{+0.41 } \times 10^{-1}$
8	RX J1050.5-0236	$\rm 4.46_{-0.54 }^{+0.41 } \times 10^{-2}$	$\rm 3.24_{-0.83 }^{+0.77 } \times 10^{-24}$	$\rm 1.1_{-0.1 }^{+0.2 }$	11.4	1.09	$\rm0.67_{-0.02 }^{+0.03 }$	$\rm 9.95_{-0.72 }^{+0.93 } \times 10^{13}$	$\rm 2.11_{-0.12 }^{+0.10 } \times 10^{13}$	$\rm 2.12_{-0.29 }^{+0.28 } \times 10^{-1}$
9	A586	$\rm 1.38_{-0.13 }^{+0.15 } \times 10^{-2}$	$\rm 5.69_{-1.66 }^{+2.77 } \times 10^{-25}$	$\rm 5.9_{-0.9 }^{+1.0 }$	11.4	0.97	$\rm 1.22_{-0.13 }^{+0.15 }$	$\rm 6.06_{-1.24 }^{+1.53 } \times 10^{14}$	$\rm 6.91_{-0.64 }^{+0.90 } \times 10^{13}$	$\rm 1.14_{-0.30 }^{+0.46 } \times 10^{-1}$
10	A2218	$\rm 6.11_{-0.41 }^{+0.57 } \times 10^{-3}$	$\rm 2.75_{-0.58 }^{+0.84 } \times 10^{-25}$	$\rm 14.1_{-1.5 }^{+1.4 }$	11.3	1.51	$\rm 1.16_{-0.08 }^{+0.08 }$	$\rm 5.32_{-0.66 }^{+0.76 } \times 10^{14}$	$\rm 8.14_{-0.37 }^{+0.52 } \times 10^{13}$	$\rm 1.53_{-0.24 }^{+0.31 } \times 10^{-1}$
11	MS0906.5+1110	$\rm 1.17_{-0.09 }^{+0.09 } \times 10^{-2}$	$\rm 7.05_{-1.47 }^{+2.00 } \times 10^{-25}$	$\rm 6.0_{-0.6 }^{+0.7 }$	11.3	1.90	$\rm0.89_{-0.05 }^{+0.05 }$	$\rm 2.39_{-0.25 }^{+0.27 } \times 10^{14}$	$\rm 5.10_{-0.21 }^{+0.14 } \times 10^{13}$	$\rm 2.14_{-0.28 }^{+0.30 } \times 10^{-1}$
12	A665	$\rm 6.26_{-0.22 }^{+0.28 } \times 10^{-3}$	$\rm 1.38_{-0.17 }^{+0.21 } \times 10^{-25}$	$\rm 13.1_{-0.8 }^{+0.7 }$	11.3	2.11	$\rm 1.11_{-0.04 }^{+0.04 }$	$\rm 4.60_{-0.34 }^{+0.36 } \times 10^{14}$	$\rm 1.19_{-0.02 }^{+0.03 } \times 10^{14}$	$\rm 2.58_{-0.23 }^{+0.27 } \times 10^{-1}$
13	A1689	$\rm 3.11_{-0.18 }^{+0.17 } \times 10^{-2}$	$\rm 1.77_{-0.25 }^{+0.32 } \times 10^{-24}$	$\rm 3.1_{-0.2 }^{+0.2 }$	11.2	1.99	$\rm 1.26_{-0.04 }^{+0.04 }$	$\rm 6.75_{-0.42 }^{+0.48 } \times 10^{14}$	$\rm 1.40_{-0.05 }^{+0.04 } \times 10^{14}$	$\rm 2.07_{-0.20 }^{+0.18 } \times 10^{-1}$
14	MS0440.5+0204	$\rm 2.54_{-0.65 }^{+0.76 } \times 10^{-2}$	$\rm 5.24_{-2.79 }^{+4.96 } \times 10^{-24}$	$\rm 2.9_{-0.8 }^{+1.3 }$	11.2	0.96	$\rm0.90_{-0.09 }^{+0.13 }$	$\rm 2.51_{-0.49 }^{+0.77 } \times 10^{14}$	$\rm 3.02_{-0.44 }^{+0.34 } \times 10^{13}$	$\rm 1.20_{-0.41 }^{+0.44 } \times 10^{-1}$
15	A1246	$\rm 7.73_{-1.33 }^{+1.40 } \times 10^{-3}$	$\rm 3.75_{-1.58 }^{+2.27 } \times 10^{-25}$	$\rm 9.6_{-1.7 }^{+2.4 }$	11.2	1.47	$\rm0.90_{-0.06 }^{+0.09 }$	$\rm 2.55_{-0.34 }^{+0.53 } \times 10^{14}$	$\rm 6.27_{-0.34 }^{+0.35 } \times 10^{13}$	$\rm 2.46_{-0.51 }^{+0.52 } \times 10^{-1}$
16	MS0839.8+2938	$\rm 3.20_{-0.53 }^{+0.43 } \times 10^{-2}$	$\rm 2.06_{-0.69 }^{+0.74 } \times 10^{-24}$	$\rm 1.8_{-0.3 }^{+0.4 }$	11.1	0.85	$\rm0.77_{-0.04 }^{+0.06 }$	$\rm 1.55_{-0.16 }^{+0.23 } \times 10^{14}$	$\rm 2.69_{-0.31 }^{+0.25 } \times 10^{13}$	$\rm 1.73_{-0.40 }^{+0.39 } \times 10^{-1}$
17	A115	$\rm 5.21_{-0.71 }^{+0.66 } \times 10^{-2}$	$\rm 1.57_{-0.51 }^{+0.65 } \times 10^{-23}$	$\rm 1.4_{-0.2 }^{+0.3 }$	11.1	3.37	$\rm0.84_{-0.03 }^{+0.05 }$	$\rm 2.07_{-0.14 }^{+0.23 } \times 10^{14}$	$\rm 5.44_{-0.17 }^{+0.14 } \times 10^{13}$	$\rm 2.62_{-0.32 }^{+0.25 } \times 10^{-1}$
18	MS0451.5+0250	$\rm 3.43_{-0.32 }^{+0.39 } \times 10^{-3}$	$\rm 5.22_{-1.24 }^{+3.02 } \times 10^{-26}$	$\rm 26.8_{-3.8 }^{+4.1 }$	11.1	1.12	$\rm 1.57_{-0.32 }^{+0.16 }$	$\rm 1.33_{-0.46 }^{+0.25 } \times 10^{15}$	$\rm 1.58_{-0.14 }^{+0.27 } \times 10^{14}$	$\rm 1.18_{-0.26 }^{+0.90 } \times 10^{-1}$
19	A2163	$\rm 7.44_{-0.33 }^{+0.41 } \times 10^{-3}$	$\rm 1.42_{-0.23 }^{+0.29 } \times 10^{-25}$	$\rm 13.9_{-1.0 }^{+0.9 }$	11.0	2.00	$\rm 1.44_{-0.08 }^{+0.08 }$	$\rm 1.03_{-0.11 }^{+0.12 } \times 10^{15}$	$\rm 2.56_{-0.08 }^{+0.10 } \times 10^{14}$	$\rm 2.48_{-0.31 }^{+0.39 } \times 10^{-1}$
20	A963	$\rm 1.58_{-0.19 }^{+0.16 } \times 10^{-2}$	$\rm 1.17_{-0.34 }^{+0.33 } \times 10^{-24}$	$\rm 5.2_{-0.6 }^{+0.8 }$	11.0	1.83	$\rm 1.02_{-0.05 }^{+0.06 }$	$\rm 3.71_{-0.39 }^{+0.48 } \times 10^{14}$	$\rm 7.00_{-0.34 }^{+0.35 } \times 10^{13}$	$\rm 1.89_{-0.27 }^{+0.30 } \times 10^{-1}$
21	ZW2701	$\rm 4.29_{-0.56 }^{+0.44 } \times 10^{-2}$	$\rm 2.15_{-0.68 }^{+0.63 } \times 10^{-24}$	$\rm 1.5_{-0.2 }^{+0.3 }$	10.9	1.28	$\rm0.80_{-0.05 }^{+0.06 }$	$\rm 1.81_{-0.20 }^{+0.26 } \times 10^{14}$	$\rm 4.84_{-0.32 }^{+0.28 } \times 10^{13}$	$\rm 2.68_{-0.49 }^{+0.50 } \times 10^{-1}$
22	A1851	$\rm 5.14_{-0.95 }^{+1.08 } \times 10^{-3}$	$\rm 2.58_{-1.32 }^{+2.12 } \times 10^{-25}$	$\rm 13.2_{-2.9 }^{+3.9 }$	10.9	1.08	$\rm0.87_{-0.11 }^{+0.16 }$	$\rm 2.35_{-0.55 }^{+0.90 } \times 10^{14}$	$\rm 3.59_{-0.31 }^{+0.32 } \times 10^{13}$	$\rm 1.53_{-0.48 }^{+0.62 } \times 10^{-1}$
23	MS0735.6+7421	$\rm 5.15_{-0.62 }^{+0.64 } \times 10^{-2}$	$\rm 4.75_{-1.45 }^{+2.02 } \times 10^{-24}$	$\rm 1.3_{-0.2 }^{+0.3 }$	10.9	2.08	$\rm0.79_{-0.04 }^{+0.06 }$	$\rm 1.75_{-0.18 }^{+0.25 } \times 10^{14}$	$\rm 5.31_{-0.23 }^{+0.17 } \times 10^{13}$	$\rm 3.04_{-0.48 }^{+0.43 } \times 10^{-1}$
24	A773	$\rm 8.35_{-0.70 }^{+0.79 } \times 10^{-3}$	$\rm 2.51_{-0.62 }^{+0.97 } \times 10^{-25}$	$\rm 10.6_{-1.2 }^{+1.4 }$	10.9	1.33	$\rm 1.25_{-0.12 }^{+0.12 }$	$\rm 6.86_{-1.19 }^{+1.32 } \times 10^{14}$	$\rm 1.11_{-0.08 }^{+0.09 } \times 10^{14}$	$\rm 1.61_{-0.33 }^{+0.46 } \times 10^{-1}$
25	A1704	$\rm 4.17_{-0.43 }^{+0.39 } \times 10^{-2}$	$\rm 3.44_{-0.88 }^{+1.12 } \times 10^{-24}$	$\rm 1.6_{-0.2 }^{+0.3 }$	10.8	2.06	$\rm0.80_{-0.04 }^{+0.05 }$	$\rm 1.79_{-0.17 }^{+0.23 } \times 10^{14}$	$\rm 4.69_{-0.18 }^{+0.13 } \times 10^{13}$	$\rm 2.62_{-0.39 }^{+0.34 } \times 10^{-1}$
26	MS1006+1202	$\rm 4.92_{-0.43 }^{+0.41 } \times 10^{-3}$	$\rm 1.66_{-0.49 }^{+0.82 } \times 10^{-25}$	$\rm 16.1_{-2.0 }^{+2.6 }$	10.8	1.18	$\rm 1.13_{-0.15 }^{+0.16 }$	$\rm 5.17_{-1.24 }^{+1.52 } \times 10^{14}$	$\rm 6.26_{-0.42 }^{+0.61 } \times 10^{13}$	$\rm 1.21_{-0.32 }^{+0.50 } \times 10^{-1}$
27	A2261	$\rm 2.76_{-0.28 }^{+0.23 } \times 10^{-2}$	$\rm 1.47_{-0.38 }^{+0.36 } \times 10^{-24}$	$\rm 2.9_{-0.3 }^{+0.4 }$	10.8	2.05	$\rm0.99_{-0.05 }^{+0.06 }$	$\rm 3.50_{-0.33 }^{+0.41 } \times 10^{14}$	$\rm 9.42_{-0.34 }^{+0.38 } \times 10^{13}$	$\rm 2.69_{-0.34 }^{+0.37 } \times 10^{-1}$
28	A1942	$\rm 4.40_{-0.87 }^{+1.28 } \times 10^{-3}$	$\rm 3.48_{-1.60 }^{+4.44 } \times 10^{-25}$	$\rm 16.7_{-4.4 }^{+5.6 }$	10.8	1.34	$\rm0.86_{-0.10 }^{+0.12 }$	$\rm 2.23_{-0.49 }^{+0.67 } \times 10^{14}$	$\rm 3.62_{-0.23 }^{+0.29 } \times 10^{13}$	$\rm 1.62_{-0.41 }^{+0.59 } \times 10^{-1}$
29	A2219	$\rm 9.59_{-1.11 }^{+0.96 } \times 10^{-3}$	$\rm 2.47_{-0.75 }^{+0.79 } \times 10^{-25}$	$\rm 9.9_{-1.1 }^{+1.6 }$	10.8	1.86	$\rm 1.23_{-0.07 }^{+0.12 }$	$\rm 6.58_{-0.76 }^{+1.26 } \times 10^{14}$	$\rm 1.80_{-0.09 }^{+0.08 } \times 10^{14}$	$\rm 2.74_{-0.51 }^{+0.47 } \times 10^{-1}$
30	A1895	$\rm 2.23_{-0.24 }^{+0.16 } \times 10^{-3}$	$\rm 2.02_{-0.81 }^{+0.69 } \times 10^{-26}$	$\rm 31.1_{-3.7 }^{+5.6 }$	10.8	1.24	$\rm 1.04_{-0.18 }^{+0.63 }$	$\rm 4.05_{-1.03 }^{+2.77 } \times 10^{14}$	$\rm 8.73_{-0.55 }^{+0.43 } \times 10^{13}$	$\rm 2.15_{-0.94 }^{+0.84 } \times 10^{-1}$
31	A2390	$\rm 4.07_{-0.44 }^{+0.36 } \times 10^{-2}$	$\rm 3.68_{-1.04 }^{+1.21 } \times 10^{-24}$	$\rm 2.3_{-0.3 }^{+0.4 }$	10.8	3.31	$\rm 1.12_{-0.08 }^{+0.10 }$	$\rm 5.01_{-0.66 }^{+0.91 } \times 10^{14}$	$\rm 1.47_{-0.04 }^{+0.05 } \times 10^{14}$	$\rm 2.95_{-0.49 }^{+0.49 } \times 10^{-1}$
32	A1763	$\rm 6.76_{-0.80 }^{+0.79 } \times 10^{-3}$	$\rm 2.39_{-0.79 }^{+0.91 } \times 10^{-25}$	$\rm 13.1_{-1.7 }^{+2.2 }$	10.8	2.01	$\rm 1.07_{-0.07 }^{+0.10 }$	$\rm 4.39_{-0.58 }^{+0.80 } \times 10^{14}$	$\rm 1.17_{-0.05 }^{+0.05 } \times 10^{14}$	$\rm 2.67_{-0.49 }^{+0.49 } \times 10^{-1}$
33	A2111	$\rm 6.22_{-0.60 }^{+0.67 } \times 10^{-3}$	$\rm 2.63_{-0.83 }^{+0.95 } \times 10^{-25}$	$\rm 13.2_{-1.8 }^{+2.1 }$	10.8	2.04	$\rm0.99_{-0.07 }^{+0.10 }$	$\rm 3.52_{-0.49 }^{+0.69 } \times 10^{14}$	$\rm 7.98_{-0.23 }^{+0.34 } \times 10^{13}$	$\rm 2.27_{-0.41 }^{+0.45 } \times 10^{-1}$
34	A267	$\rm 1.14_{-0.15 }^{+0.15 } \times 10^{-2}$	$\rm 2.97_{-1.07 }^{+1.37 } \times 10^{-25}$	$\rm 6.4_{-1.0 }^{+1.3 }$	10.7	1.10	$\rm 1.00_{-0.09 }^{+0.12 }$	$\rm 3.57_{-0.64 }^{+0.91 } \times 10^{14}$	$\rm 7.76_{-0.70 }^{+0.83 } \times 10^{13}$	$\rm 2.18_{-0.57 }^{+0.70 } \times 10^{-1}$
35	A2667	$\rm 4.75_{-0.27 }^{+0.26 } \times 10^{-2}$	$\rm 2.17_{-0.29 }^{+0.41 } \times 10^{-24}$	$\rm 1.6_{-0.1 }^{+0.1 }$	10.7	2.56	$\rm0.96_{-0.03 }^{+0.04 }$	$\rm 3.13_{-0.19 }^{+0.27 } \times 10^{14}$	$\rm 9.92_{-0.22 }^{+0.23 } \times 10^{13}$	$\rm 3.17_{-0.30 }^{+0.26 } \times 10^{-1}$
36	A1682	$\rm 3.41_{-0.34 }^{+0.73 } \times 10^{-3}$	$\rm 5.60_{-1.81 }^{+5.83 } \times 10^{-26}$	$\rm 23.1_{-4.8 }^{+3.6 }$	10.7	1.21	$\rm 1.13_{-0.19 }^{+0.26 }$	$\rm 5.20_{-1.55 }^{+2.18 } \times 10^{14}$	$\rm 9.88_{-0.87 }^{+0.69 } \times 10^{13}$	$\rm 1.90_{-0.65 }^{+0.89 } \times 10^{-1}$
37	RX J2129.3+0005	$\rm 4.46_{-0.58 }^{+0.47 } \times 10^{-2}$	$\rm 2.77_{-0.75 }^{+0.75 } \times 10^{-24}$	$\rm 1.7_{-0.2 }^{+0.3 }$	10.7	1.95	$\rm0.92_{-0.03 }^{+0.05 }$	$\rm 2.83_{-0.21 }^{+0.30 } \times 10^{14}$	$\rm 7.72_{-0.33 }^{+0.29 } \times 10^{13}$	$\rm 2.73_{-0.36 }^{+0.30 } \times 10^{-1}$
38	MS1910+6736	$\rm 1.34_{-0.31 }^{+0.48 } \times 10^{-2}$	$\rm 8.33_{-4.57 }^{+9.41 } \times 10^{-25}$	$\rm 4.6_{-1.4 }^{+1.8 }$	10.6	1.30	$\rm0.74_{-0.07 }^{+0.10 }$	$\rm 1.45_{-0.28 }^{+0.41 } \times 10^{14}$	$\rm 3.50_{-0.28 }^{+0.24 } \times 10^{13}$	$\rm 2.41_{-0.61 }^{+0.72 } \times 10^{-1}$
39	A1835	$\rm 7.41_{-1.10 }^{+1.02 } \times 10^{-2}$	$\rm 3.37_{-1.13 }^{+1.20 } \times 10^{-24}$	$\rm 1.1_{-0.2 }^{+0.2 }$	10.5	1.37	$\rm 1.09_{-0.05 }^{+0.08 }$	$\rm 4.71_{-0.43 }^{+0.75 } \times 10^{14}$	$\rm 1.30_{-0.12 }^{+0.10 } \times 10^{14}$	$\rm 2.76_{-0.58 }^{+0.49 } \times 10^{-1}$
40	RX J1023.8-2715	$\rm 6.58_{-0.38 }^{+0.64 } \times 10^{-2}$	$\rm 3.61_{-0.53 }^{+0.97 } \times 10^{-24}$	$\rm 1.1_{-0.1 }^{+0.1 }$	10.5	2.28	$\rm0.92_{-0.04 }^{+0.04 }$	$\rm 2.89_{-0.25 }^{+0.26 } \times 10^{14}$	$\rm 8.94_{-0.19 }^{+0.32 } \times 10^{13}$	$\rm 3.10_{-0.31 }^{+0.39 } \times 10^{-1}$
41	A68	$\rm 7.71_{-1.27 }^{+1.26 } \times 10^{-3}$	$\rm 2.30_{-1.01 }^{+1.82 } \times 10^{-25}$	$\rm 10.6_{-1.8 }^{+2.6 }$	10.5	1.15	$\rm 1.09_{-0.14 }^{+0.18 }$	$\rm 4.77_{-1.12 }^{+1.62 } \times 10^{14}$	$\rm 9.10_{-0.95 }^{+1.06 } \times 10^{13}$	$\rm 1.91_{-0.59 }^{+0.81 } \times 10^{-1}$
42	MS1455.0+2232	$\rm 6.28_{-0.75 }^{+0.57 } \times 10^{-2}$	$\rm 2.43_{-0.62 }^{+0.59 } \times 10^{-24}$	$\rm 1.0_{-0.1 }^{+0.2 }$	10.5	1.16	$\rm0.86_{-0.04 }^{+0.05 }$	$\rm 2.35_{-0.20 }^{+0.26 } \times 10^{14}$	$\rm 5.64_{-0.42 }^{+0.32 } \times 10^{13}$	$\rm 2.40_{-0.39 }^{+0.37 } \times 10^{-1}$
43	A1758	$\rm 3.57_{-0.21 }^{+0.26 } \times 10^{-3}$	$\rm 2.67_{-0.50 }^{+1.05 } \times 10^{-26}$	$\rm 22.9_{-2.6 }^{+2.7 }$	10.3	1.03	$\rm 2.11_{-0.69 }^{+0.18 }$	$\rm 3.57_{-1.75 }^{+0.49 } \times 10^{15}$	$\rm 1.46_{-0.10 }^{+0.47 } \times 10^{14}$	$\rm 4.11_{-0.69 }^{+6.49 } \times 10^{-2}$
44	A483	$\rm 3.09_{-0.63 }^{+0.83 } \times 10^{-3}$	$\rm 4.33_{-2.32 }^{+4.51 } \times 10^{-26}$	$\rm 21.9_{-5.7 }^{+7.7 }$	10.3	0.79	$\rm 1.15_{-0.30 }^{+1.51 }$	$\rm 5.82_{-2.42 }^{+13.11 } \times 10^{14}$	$\rm 6.10_{-2.49 }^{+1.75 } \times 10^{13}$	$\rm 1.05_{-0.86 }^{+1.26 } \times 10^{-1}$
45	A697	$\rm 9.61_{-0.81 }^{+0.95 } \times 10^{-3}$	$\rm 2.09_{-0.49 }^{+0.72 } \times 10^{-25}$	$\rm 9.3_{-1.1 }^{+1.2 }$	10.2	1.90	$\rm 1.14_{-0.08 }^{+0.08 }$	$\rm 5.62_{-0.75 }^{+0.81 } \times 10^{14}$	$\rm 1.59_{-0.07 }^{+0.06 } \times 10^{14}$	$\rm 2.83_{-0.46 }^{+0.54 } \times 10^{-1}$
46	1E0657-56	$\rm 7.19_{-0.31 }^{+0.26 } \times 10^{-3}$	$\rm 8.55_{-1.45 }^{+1.70 } \times 10^{-26}$	$\rm 14.9_{-0.8 }^{+1.2 }$	10.1	1.57	$\rm 1.77_{-0.14 }^{+0.22 }$	$\rm 2.15_{-0.31 }^{+0.50 } \times 10^{15}$	$\rm 2.98_{-0.16 }^{+0.20 } \times 10^{14}$	$\rm 1.38_{-0.31 }^{+0.32 } \times 10^{-1}$
47	MS1008.1-1224	$\rm 7.27_{-0.87 }^{+0.98 } \times 10^{-3}$	$\rm 3.50_{-1.42 }^{+2.18 } \times 10^{-25}$	$\rm 12.0_{-2.2 }^{+3.0 }$	10.1	1.34	$\rm 1.13_{-0.16 }^{+0.24 }$	$\rm 5.60_{-1.47 }^{+2.51 } \times 10^{14}$	$\rm 7.09_{-0.69 }^{+0.74 } \times 10^{13}$	$\rm 1.27_{-0.45 }^{+0.56 } \times 10^{-1}$
48	MS1147.3+1103	$\rm 9.37_{-2.00 }^{+3.56 } \times 10^{-3}$	$\rm 9.57_{-5.12 }^{+18.95 } \times 10^{-25}$	$\rm 7.6_{-2.6 }^{+3.2 }$	10.0	1.50	$\rm0.79_{-0.12 }^{+0.14 }$	$\rm 1.92_{-0.54 }^{+0.73 } \times 10^{14}$	$\rm 3.58_{-0.29 }^{+0.28 } \times 10^{13}$	$\rm 1.87_{-0.61 }^{+0.82 } \times 10^{-1}$
49	RX J1131.9-1955	$\rm 9.37_{-1.85 }^{+1.83 } \times 10^{-3}$	$\rm 3.97_{-1.93 }^{+2.62 } \times 10^{-25}$	$\rm 9.6_{-1.8 }^{+2.8 }$	10.0	1.69	$\rm 1.03_{-0.09 }^{+0.12 }$	$\rm 4.31_{-0.69 }^{+1.01 } \times 10^{14}$	$\rm 1.14_{-0.08 }^{+0.08 } \times 10^{14}$	$\rm 2.64_{-0.62 }^{+0.62 } \times 10^{-1}$
50	AC118	$\rm 4.14_{-0.45 }^{+0.19 } \times 10^{-3}$	$\rm 4.06_{-1.32 }^{+0.99 } \times 10^{-26}$	$\rm 22.5_{-1.5 }^{+3.4 }$	10.0	1.66	$\rm 1.40_{-0.16 }^{+0.29 }$	$\rm 1.08_{-0.20 }^{+0.37 } \times 10^{15}$	$\rm 2.32_{-0.08 }^{+0.14 } \times 10^{14}$	$\rm 2.14_{-0.55 }^{+0.59 } \times 10^{-1}$
51	MS0811.6+6301	$\rm 1.50_{-0.28 }^{+0.29 } \times 10^{-2}$	$\rm 1.24_{-0.66 }^{+1.09 } \times 10^{-24}$	$\rm 4.1_{-1.0 }^{+1.6 }$	10.0	1.13	$\rm0.72_{-0.11 }^{+0.15 }$	$\rm 1.46_{-0.40 }^{+0.67 } \times 10^{14}$	$\rm 2.48_{-0.28 }^{+0.28 } \times 10^{13}$	$\rm 1.69_{-0.63 }^{+0.85 } \times 10^{-1}$
52	MS1241.5+1710	$\rm 4.99_{-1.23 }^{+2.60 } \times 10^{-2}$	$\rm 1.01_{-0.66 }^{+2.59 } \times 10^{-23}$	$\rm 1.6_{-0.7 }^{+0.9 }$	10.0	0.62	$\rm 1.01_{-0.22 }^{+0.34 }$	$\rm 4.07_{-1.58 }^{+3.19 } \times 10^{14}$	$\rm 3.13_{-1.60 }^{+1.06 } \times 10^{13}$	$\rm 7.68_{-5.55 }^{+8.95 } \times 10^{-2}$
53	AC114	$\rm 6.24_{-0.96 }^{+1.02 } \times 10^{-3}$	$\rm 2.06_{-0.85 }^{+1.19 } \times 10^{-25}$	$\rm 14.0_{-2.5 }^{+3.3 }$	10.0	1.95	$\rm 1.01_{-0.09 }^{+0.12 }$	$\rm 4.09_{-0.69 }^{+1.00 } \times 10^{14}$	$\rm 1.03_{-0.04 }^{+0.05 } \times 10^{14}$	$\rm 2.53_{-0.53 }^{+0.62 } \times 10^{-1}$
54	MS2137.3-2353	$\rm 7.46_{-0.88 }^{+0.72 } \times 10^{-2}$	$\rm 3.29_{-0.99 }^{+1.01 } \times 10^{-24}$	$\rm0.9_{-0.1 }^{+0.2 }$	10.0	1.04	$\rm0.87_{-0.05 }^{+0.08 }$	$\rm 2.55_{-0.29 }^{+0.48 } \times 10^{14}$	$\rm 5.19_{-0.54 }^{+0.44 } \times 10^{13}$	$\rm 2.04_{-0.49 }^{+0.45 } \times 10^{-1}$
55	A1995	$\rm 8.75_{-1.26 }^{+0.75 } \times 10^{-3}$	$\rm 2.62_{-1.07 }^{+1.23 } \times 10^{-25}$	$\rm 10.7_{-1.4 }^{+2.7 }$	9.9	1.23	$\rm 1.32_{-0.17 }^{+0.29 }$	$\rm 9.18_{-2.13 }^{+4.29 } \times 10^{14}$	$\rm 1.09_{-0.13 }^{+0.12 } \times 10^{14}$	$\rm 1.18_{-0.46 }^{+0.49 } \times 10^{-1}$
56	CL0500-24	$\rm 5.39_{-2.34 }^{+6.66 } \times 10^{-3}$	$\rm 1.33_{-1.02 }^{+10.73 } \times 10^{-24}$	$\rm 15_{-9 }^{+17 }$	9.9	0.97	$\rm0.87_{-0.17 }^{+0.35 }$	$\rm 2.57_{-0.92 }^{+2.43 } \times 10^{14}$	$\rm 2.89_{-0.49 }^{+0.55 } \times 10^{13}$	$\rm 1.13_{-0.58 }^{+0.87 } \times 10^{-1}$
57	A402	$\rm 1.77_{-0.27 }^{+0.24 } \times 10^{-2}$	$\rm 9.48_{-3.95 }^{+4.79 } \times 10^{-25}$	$\rm 4.6_{-0.8 }^{+1.2 }$	9.9	1.41	$\rm0.98_{-0.10 }^{+0.13 }$	$\rm 3.70_{-0.69 }^{+1.02 } \times 10^{14}$	$\rm 7.24_{-0.67 }^{+0.63 } \times 10^{13}$	$\rm 1.96_{-0.55 }^{+0.63 } \times 10^{-1}$
58	MS1224.7+2007	$\rm 1.93_{-0.44 }^{+0.69 } \times 10^{-2}$	$\rm 4.89_{-2.47 }^{+7.74 } \times 10^{-24}$	$\rm 3.5_{-1.2 }^{+1.4 }$	9.8	1.26	$\rm0.75_{-0.11 }^{+0.12 }$	$\rm 1.69_{-0.46 }^{+0.58 } \times 10^{14}$	$\rm 2.00_{-0.23 }^{+0.28 } \times 10^{13}$	$\rm 1.18_{-0.37 }^{+0.64 } \times 10^{-1}$
59	A1722	$\rm 9.05_{-1.51 }^{+1.62 } \times 10^{-3}$	$\rm 5.96_{-2.38 }^{+3.37 } \times 10^{-25}$	$\rm 8.3_{-1.4 }^{+2.0 }$	9.8	1.52	$\rm0.88_{-0.06 }^{+0.10 }$	$\rm 2.73_{-0.36 }^{+0.62 } \times 10^{14}$	$\rm 4.52_{-0.33 }^{+0.36 } \times 10^{13}$	$\rm 1.65_{-0.38 }^{+0.38 } \times 10^{-1}$
60	CL1358+6245	$\rm 3.05_{-0.42 }^{+0.73 } \times 10^{-2}$	$\rm 2.74_{-0.94 }^{+2.23 } \times 10^{-24}$	$\rm 2.4_{-0.5 }^{+0.5 }$	9.8	1.99	$\rm0.82_{-0.06 }^{+0.06 }$	$\rm 2.19_{-0.29 }^{+0.35 } \times 10^{14}$	$\rm 5.64_{-0.30 }^{+0.33 } \times 10^{13}$	$\rm 2.57_{-0.44 }^{+0.53 } \times 10^{-1}$
61	CL2244-02	$\rm 2.58_{-1.58 }^{+1.32 } \times 10^{-3}$	$\rm 6.52_{-6.11 }^{+39.35 } \times 10^{-25}$	$\rm 31_{-12 }^{+59 }$	9.8	0.48	$\rm0.67_{-0.16 }^{+0.21 }$	$\rm 1.21_{-0.51 }^{+0.84 } \times 10^{14}$	$\rm 2.02_{-0.37 }^{+0.29 } \times 10^{13}$	$\rm 1.67_{-0.68 }^{+0.90 } \times 10^{-1}$
62	RX J1532.9+3021	$\rm 8.13_{-0.68 }^{+0.63 } \times 10^{-2}$	$\rm 2.28_{-0.42 }^{+0.52 } \times 10^{-24}$	$\rm0.85_{-0.08 }^{+0.10 }$	9.7	1.52	$\rm0.87_{-0.04 }^{+0.04 }$	$\rm 2.67_{-0.24 }^{+0.26 } \times 10^{14}$	$\rm 8.30_{-0.41 }^{+0.36 } \times 10^{13}$	$\rm 3.11_{-0.40 }^{+0.44 } \times 10^{-1}$
63	A959	$\rm 2.65_{-0.35 }^{+0.21 } \times 10^{-3}$	$\rm 2.93_{-1.19 }^{+1.92 } \times 10^{-26}$	$\rm 26.9_{-3.8 }^{+6.7 }$	9.6	1.88	$\rm0.81_{-0.12 }^{+0.15 }$	$\rm 2.22_{-0.51 }^{+0.62 } \times 10^{14}$	$\rm 6.67_{-0.26 }^{+0.25 } \times 10^{13}$	$\rm 3.00_{-0.65 }^{+0.84 } \times 10^{-1}$
64	MS1512.4+3647	$\rm 2.81_{-0.49 }^{+0.68 } \times 10^{-2}$	$\rm 1.45_{-0.67 }^{+1.25 } \times 10^{-24}$	$\rm 1.9_{-0.4 }^{+0.6 }$	9.4	1.06	$\rm0.62_{-0.08 }^{+0.13 }$	$\rm 10.00_{-2.30 }^{+4.71 } \times 10^{13}$	$\rm 2.25_{-0.25 }^{+0.39 } \times 10^{13}$	$\rm 2.25_{-0.81 }^{+0.97 } \times 10^{-1}$
65	A370	$\rm 4.03_{-0.66 }^{+1.54 } \times 10^{-3}$	$\rm 1.14_{-0.55 }^{+2.47 } \times 10^{-25}$	$\rm 19.9_{-6.3 }^{+5.5 }$	9.4	1.45	$\rm0.92_{-0.15 }^{+0.21 }$	$\rm 3.27_{-0.98 }^{+1.50 } \times 10^{14}$	$\rm 6.87_{-0.57 }^{+0.41 } \times 10^{13}$	$\rm 2.10_{-0.73 }^{+0.84 } \times 10^{-1}$
66	CL0024+17	$\rm 8.55_{-1.59 }^{+3.33 } \times 10^{-3}$	$\rm 1.16_{-0.72 }^{+3.84 } \times 10^{-24}$	$\rm 8.7_{-3.5 }^{+5.5 }$	9.3	1.99	$\rm0.76_{-0.17 }^{+0.32 }$	$\rm 1.86_{-0.73 }^{+1.88 } \times 10^{14}$	$\rm 3.14_{-0.21 }^{+0.26 } \times 10^{13}$	$\rm 1.69_{-0.87 }^{+1.19 } \times 10^{-1}$
67	A851	$\rm 2.47_{-0.41 }^{+0.62 } \times 10^{-3}$	$\rm 5.19_{-2.81 }^{+6.65 } \times 10^{-26}$	$\rm 34_{-9 }^{+12 }$	9.1	1.75	$\rm0.85_{-0.14 }^{+0.31 }$	$\rm 2.70_{-0.74 }^{+1.74 } \times 10^{14}$	$\rm 6.58_{-0.51 }^{+0.42 } \times 10^{13}$	$\rm 2.44_{-0.94 }^{+0.96 } \times 10^{-1}$
68	MS0302.7+1658	$\rm 2.83_{-0.93 }^{+0.88 } \times 10^{-2}$	$\rm 3.39_{-2.52 }^{+5.26 } \times 10^{-24}$	$\rm 2.6_{-0.9 }^{+2.2 }$	9.0	1.05	$\rm0.80_{-0.15 }^{+0.29 }$	$\rm 2.25_{-0.76 }^{+1.95 } \times 10^{14}$	$\rm 3.98_{-1.00 }^{+0.66 } \times 10^{13}$	$\rm 1.77_{-1.06 }^{+1.35 } \times 10^{-1}$
69	MS1621.5+2640	$\rm 5.01_{-1.03 }^{+1.09 } \times 10^{-3}$	$\rm 2.21_{-1.25 }^{+2.37 } \times 10^{-25}$	$\rm 14.8_{-3.6 }^{+5.9 }$	9.0	1.86	$\rm0.76_{-0.10 }^{+0.16 }$	$\rm 1.95_{-0.48 }^{+0.84 } \times 10^{14}$	$\rm 4.48_{-0.27 }^{+0.28 } \times 10^{13}$	$\rm 2.30_{-0.72 }^{+0.77 } \times 10^{-1}$
70	RX J1347.5-1145	$\rm 8.60_{-0.53 }^{+0.54 } \times 10^{-2}$	$\rm 3.08_{-0.50 }^{+0.59 } \times 10^{-24}$	$\rm 1.2_{-0.1 }^{+0.1 }$	8.8	2.11	$\rm 1.21_{-0.05 }^{+0.06 }$	$\rm 8.17_{-0.72 }^{+0.81 } \times 10^{14}$	$\rm 2.06_{-0.08 }^{+0.08 } \times 10^{14}$	$\rm 2.52_{-0.30 }^{+0.33 } \times 10^{-1}$
71	3C 295	$\rm 4.61_{-0.63 }^{+0.73 } \times 10^{-2}$	$\rm 2.28_{-0.91 }^{+1.39 } \times 10^{-24}$	$\rm 1.7_{-0.4 }^{+0.4 }$	8.7	0.71	$\rm0.99_{-0.15 }^{+0.16 }$	$\rm 4.50_{-1.25 }^{+1.56 } \times 10^{14}$	$\rm 4.28_{-0.79 }^{+1.13 } \times 10^{13}$	$\rm 9.51_{-3.69 }^{+6.92 } \times 10^{-2}$
72	CL0016+16	$\rm 1.03_{-0.12 }^{+0.11 } \times 10^{-2}$	$\rm 1.79_{-0.61 }^{+0.68 } \times 10^{-25}$	$\rm 8.5_{-1.2 }^{+1.6 }$	8.2	2.01	$\rm0.98_{-0.09 }^{+0.12 }$	$\rm 4.77_{-0.76 }^{+1.15 } \times 10^{14}$	$\rm 1.40_{-0.04 }^{+0.06 } \times 10^{14}$	$\rm 2.93_{-0.58 }^{+0.69 } \times 10^{-1}$
73	MS0451.6-0305	$\rm 9.11_{-1.13 }^{+1.13 } \times 10^{-3}$	$\rm 2.36_{-0.93 }^{+1.50 } \times 10^{-25}$	$\rm 10.5_{-1.8 }^{+2.5 }$	8.1	1.65	$\rm 1.11_{-0.16 }^{+0.20 }$	$\rm 7.04_{-1.81 }^{+2.67 } \times 10^{14}$	$\rm 1.25_{-0.08 }^{+0.11 } \times 10^{14}$	$\rm 1.78_{-0.53 }^{+0.69 } \times 10^{-1}$
74	CL2236-04	$\rm 3.22_{-0.84 }^{+0.58 } \times 10^{-2}$	$\rm 8.99_{-5.65 }^{+12.68 } \times 10^{-25}$	$\rm 1.8_{-0.5 }^{+1.3 }$	8.0	0.86	$\rm0.65_{-0.13 }^{+0.29 }$	$\rm 1.41_{-0.52 }^{+1.50 } \times 10^{14}$	$\rm 3.67_{-0.89 }^{+0.73 } \times 10^{13}$	$\rm 2.60_{-1.65 }^{+2.23 } \times 10^{-1}$
75	MS2053.7-0449	$\rm 5.94_{-2.14 }^{+4.12 } \times 10^{-3}$	$\rm 1.03_{-0.84 }^{+6.01 } \times 10^{-24}$	$\rm 22_{-12 }^{+21 }$	7.9	0.44	$\rm 1.86_{-0.91 }^{+4.28 }$	$\rm 3.49_{-2.57 }^{+32.56 } \times 10^{15}$	$\rm 2.23_{-1.80 }^{+5.90 } \times 10^{13}$	$\rm 6.39_{-6.25 }^{+70.98 } \times 10^{-3}$
76	3C 220.1	$\rm 4.65_{-0.77 }^{+1.11 } \times 10^{-2}$	$\rm 2.68_{-1.26 }^{+3.39 } \times 10^{-24}$	$\rm 1.6_{-0.4 }^{+0.5 }$	7.7	0.35	$\rm0.94_{-0.20 }^{+0.36 }$	$\rm 4.67_{-1.76 }^{+4.21 } \times 10^{14}$	$\rm 1.55_{-0.88 }^{+1.09 } \times 10^{13}$	$\rm 3.32_{-2.56 }^{+5.67 } \times 10^{-2}$
77	MS1137.5+6625	$\rm 1.58_{-0.42 }^{+0.40 } \times 10^{-2}$	$\rm 1.53_{-1.11 }^{+4.77 } \times 10^{-24}$	$\rm 7.5_{-2.5 }^{+7.0 }$	6.7	1.20	$\rm 1.14_{-0.36 }^{+1.02 }$	$\rm 1.00_{-0.54 }^{+2.56 } \times 10^{15}$	$\rm 8.60_{-2.53 }^{+2.65 } \times 10^{13}$	$\rm 8.58_{-6.62 }^{+12.11 } \times 10^{-2}$
78	RX J1716.6+6708	$\rm 1.10_{-0.22 }^{+0.53 } \times 10^{-2}$	$\rm 4.45_{-3.17 }^{+27.56 } \times 10^{-25}$	$\rm 9.1_{-4.5 }^{+7.6 }$	6.6	1.01	$\rm0.98_{-0.37 }^{+0.99 }$	$\rm 6.76_{-4.12 }^{+18.86 } \times 10^{14}$	$\rm 8.43_{-2.08 }^{+2.15 } \times 10^{13}$	$\rm 1.25_{-0.98 }^{+2.54 } \times 10^{-1}$
79	MS1054.5-0321	$\rm 5.06_{-0.42 }^{+0.56 } \times 10^{-3}$	$\rm 9.96_{-3.26 }^{+6.62 } \times 10^{-26}$	$\rm 26.6_{-5.1 }^{+6.0 }$	6.5	0.92	$\rm 2.70_{-0.92 }^{+0.54 }$	$\rm 1.41_{-0.75 }^{+0.56 } \times 10^{16}$	$\rm 1.31_{-0.17 }^{+0.39 } \times 10^{14}$	$\rm 9.27_{-3.18 }^{+15.07 } \times 10^{-3}$

 

 

Table 6: Gas density, gas mass, cluster mass and gas-mass fraction for the double-$\beta$ clusters. Column 3, central electron density for the inner-core component of the double-$\beta$ model. Column 4, cooling timescale estimated with the inner-core component. Column 5, central electron density for the outer-core component. Column 6, cooling timescale estimated with the outer-core component. Column 7, central mass density of the cluster estimated with Eq. (A.6). Column 8, r₅₀₀ derived with Eqs. (8) and (A.5). Column 9, M₅₀₀ estimated with Eq. (A.4). Column 10, gas mass within r₅₀₀ determined from the double-$\beta$ gas density profiles (Eq. (A.1)). Column 11, gas-mass fraction within r₅₀₀.

							$\Delta _{\rm c}=500$
ID	Cluster	$n_{\rm e0,1}$	$t_{{\rm cool},1}$	$n_{\rm e0, 2}$	$t_{{\rm cool},2}$	$\rho _0$	r500	M500	$M_{\rm gas}$	$f_{\rm gas}$
		$[h_{70}^{1/2}~{\rm cm^{-3}}]$	[Gyr]	$[h_{70}^{1/2}~{\rm cm^{-3}}]$	[Gyr]	$[h_{70}^{2}{\rm ~g~cm^{-3}}]$	$[h_{70}^{-1}~{\rm Mpc}]$	$[h_{70}^{-1}{~M_{\odot}}]$	$[h_{70}^{-5/2}{~M_{\odot}}]$	[h70-3/2]
1	PKS 0745-19	$\rm 8.20_{-0.59 }^{+0.60 } \times 10^{-2 }$	$\rm0.97_{-0.08 }^{+0.09 }$	$\rm 1.00_{-0.23 }^{+0.39 } \times 10^{-2}$	$\rm 7.92_{-2.30 }^{+2.50 }$	$\rm 5.23_{-1.05 }^{+1.67 } \times 10^{-24}$	$\rm 1.19_{-0.09 }^{+0.07 }$	$\rm 5.36_{-0.77 }^{+0.68 } \times 10^{14}$	$\rm 1.27_{-0.13 }^{+0.06 } \times 10^{14 }$	$\rm 2.38_{-0.29 }^{+0.28 } \times 10^{-1}$
4	A1413	$\rm 2.60_{-0.85 }^{+1.99 } \times 10^{-2 }$	$\rm 3.18_{-1.41 }^{+1.63 }$	$\rm 1.17_{-0.33 }^{+0.27 } \times 10^{-2}$	$\rm 7.04_{-1.43 }^{+2.93 }$	$\rm 6.76_{-4.74 }^{+18.85 } \times 10^{-24}$	$\rm 1.12_{-0.06 }^{+0.08 }$	$\rm 4.62_{-0.49 }^{+0.67 } \times 10^{14}$	$\rm 1.12_{-0.08 }^{+0.05 } \times 10^{14 }$	$\rm 2.42_{-0.38 }^{+0.33 } \times 10^{-1}$
6	A2204	$\rm 1.36_{-0.08 }^{+0.09 } \times 10^{-1 }$	$\rm0.59_{-0.05 }^{+0.05 }$	$\rm 9.63_{-2.53 }^{+1.90 } \times 10^{-3}$	$\rm 8.36_{-1.53 }^{+3.20 }$	$\rm 9.88_{-1.72 }^{+2.29 } \times 10^{-24}$	$\rm 1.14_{-0.06 }^{+0.06 }$	$\rm 4.85_{-0.52 }^{+0.55 } \times 10^{14}$	$\rm 1.55_{-0.18 }^{+0.06 } \times 10^{14 }$	$\rm 3.19_{-0.30 }^{+0.24 } \times 10^{-1}$
9	A586	$\rm 1.79_{-0.56 }^{+0.87 } \times 10^{-2 }$	$\rm 4.60_{-1.66 }^{+2.48 }$	$\rm 9.98_{-2.34 }^{+2.44 } \times 10^{-3}$	$\rm 8.24_{-1.95 }^{+3.13 }$	$\rm 2.65_{-1.79 }^{+8.42 } \times 10^{-24}$	$\rm 1.31_{-0.16 }^{+0.28 }$	$\rm 7.52_{-1.74 }^{+3.60 } \times 10^{14}$	$\rm 7.19_{-1.20 }^{+1.79 } \times 10^{13 }$	$\rm 9.56_{-3.61 }^{+6.94 } \times 10^{-2}$
13	A1689	$\rm 3.25_{-0.25 }^{+0.29 } \times 10^{-2 }$	$\rm 2.93_{-0.28 }^{+0.30 }$	$\rm 6.34_{-1.02 }^{+3.09 } \times 10^{-3}$	$\rm 15.01_{-5.09 }^{+3.18 }$	$\rm 1.75_{-0.40 }^{+0.83 } \times 10^{-24}$	$\rm 1.42_{-0.11 }^{+0.16 }$	$\rm 9.81_{-1.52 }^{+2.30 } \times 10^{14}$	$\rm 1.97_{-0.11 }^{+0.06 } \times 10^{14 }$	$\rm 2.01_{-0.34 }^{+0.37 } \times 10^{-1}$
21	ZW2701	$\rm 3.52_{-0.29 }^{+0.64 } \times 10^{-2 }$	$\rm 1.77_{-0.33 }^{+0.23 }$	$\rm 3.64_{-0.99 }^{+1.03 } \times 10^{-3}$	$\rm 17.17_{-4.27 }^{+7.29 }$	$\rm 9.70_{-2.43 }^{+7.04 } \times 10^{-25}$	$\rm 1.09_{-0.23 }^{+0.29 }$	$\rm 4.55_{-1.71 }^{+2.74 } \times 10^{14}$	$\rm 7.46_{-0.91 }^{+0.59 } \times 10^{13 }$	$\rm 1.64_{-0.68 }^{+0.51 } \times 10^{-1}$
23	MS0735.6+7421	$\rm 5.20_{-0.66 }^{+0.59 } \times 10^{-2 }$	$\rm 1.27_{-0.18 }^{+0.26 }$	$\rm 6.57_{-0.60 }^{+0.98 } \times 10^{-3}$	$\rm 10.07_{-1.67 }^{+1.59 }$	$\rm 3.28_{-1.12 }^{+1.35 } \times 10^{-24}$	$\rm 1.09_{-0.13 }^{+0.22 }$	$\rm 4.61_{-1.03 }^{+2.05 } \times 10^{14}$	$\rm 7.41_{-1.05 }^{+0.64 } \times 10^{13 }$	$\rm 1.61_{-0.60 }^{+0.60 } \times 10^{-1}$
31	A2390	$\rm 4.48_{-0.50 }^{+0.49 } \times 10^{-2 }$	$\rm 2.11_{-0.29 }^{+0.40 }$	$\rm 6.79_{-0.83 }^{+1.08 } \times 10^{-3}$	$\rm 13.92_{-2.45 }^{+2.83 }$	$\rm 3.63_{-1.20 }^{+1.76 } \times 10^{-24}$	$\rm 1.36_{-0.15 }^{+0.19 }$	$\rm 8.98_{-1.82 }^{+2.64 } \times 10^{14}$	$\rm 2.15_{-0.08 }^{+0.11 } \times 10^{14 }$	$\rm 2.40_{-0.51 }^{+0.68 } \times 10^{-1}$
35	A2667	$\rm 5.23_{-0.34 }^{+0.52 } \times 10^{-2 }$	$\rm 1.45_{-0.16 }^{+0.15 }$	$\rm 1.26_{-0.41 }^{+0.77 } \times 10^{-2}$	$\rm 6.04_{-2.36 }^{+3.19 }$	$\rm 2.69_{-0.42 }^{+2.00 } \times 10^{-24}$	$\rm 1.00_{-0.04 }^{+0.06 }$	$\rm 3.64_{-0.30 }^{+0.47 } \times 10^{14}$	$\rm 1.46_{-0.17 }^{+0.12 } \times 10^{14 }$	$\rm 4.00_{-0.63 }^{+0.62 } \times 10^{-1}$

 

 

Table 7: Cluster parameters for the single $\beta$-model. Columns 3-6, and 7-10, overdensity radius, $r_{\Delta }$ and cluster mass, gas mass, and gas-mass fraction within $r_{\Delta }$. The definitions of the parameters are the same as those described in Sect. 5.2.1 but the overdensities of $\Delta _{\rm c}=500\Omega ^{0.427}$ and $18\pi ^2\Omega ^{0.427}$ are assumed, respectively.

		$\Delta _{\rm c}=500\Omega ^{0.427}$				$\Delta_{\rm c}=18\pi^2\Omega^{0.427}$
ID	Cluster	$r_{\Delta }$	$M_{\Delta}$	$M_{{\rm gas}, \Delta}$	$f_{{\rm gas},\Delta}$	$r_{\Delta }$	$M_{\Delta}$	$M_{{\rm gas}, \Delta}$	$f_{{\rm gas},\Delta}$
		$[h_{70}^{-1}~{\rm Mpc}]$	$[h_{70}^{-1}{~M_{\odot}}]$	$[h_{70}^{-5/2}{~M_{\odot}}]$	[h70-3/2]	$[h_{70}^{-1}{\rm Mpc}]$	$[h_{70}^{-1}{~M_{\odot}}]$	$[h_{70}^{-5/2}{~M_{\odot}}]$	[h70-3/2]
1	PKS 0745-19	$\rm 1.33_{-0.03}^{+0.03}$	$\rm 4.81_{-0.23}^{+0.22} \times 10^{14}$	$\rm 1.31_{-0.05}^{+0.05} \times 10^{14}$	$\rm 2.73_{-0.22}^{+0.26} \times 10^{-1}$	$\rm 2.23_{-0.05}^{+0.05}$	$\rm 8.07_{-0.39}^{+0.37} \times 10^{14}$	$\rm 2.75_{-0.13}^{+0.16} \times 10^{14}$	$\rm 3.41_{-0.31}^{+0.38} \times 10^{-1}$
2	A2811	$\rm 1.23_{-0.09}^{+0.13}$	$\rm 3.84_{-0.54}^{+0.82} \times 10^{14}$	$\rm 7.60_{-0.90}^{+0.99} \times 10^{13}$	$\rm 1.98_{-0.54}^{+0.59} \times 10^{-1}$	$\rm 2.07_{-0.15}^{+0.22}$	$\rm 6.54_{-0.94}^{+1.45} \times 10^{14}$	$\rm 1.42_{-0.30}^{+0.31} \times 10^{14}$	$\rm 2.18_{-0.77}^{+0.92} \times 10^{-1}$
3	A1068	$\rm0.97_{-0.02}^{+0.03}$	$\rm 1.91_{-0.09}^{+0.11} \times 10^{14}$	$\rm 5.52_{-0.28}^{+0.23} \times 10^{13}$	$\rm 2.89_{-0.29}^{+0.27} \times 10^{-1}$	$\rm 1.60_{-0.04}^{+0.04}$	$\rm 3.16_{-0.15}^{+0.18} \times 10^{14}$	$\rm 1.15_{-0.08}^{+0.07} \times 10^{14}$	$\rm 3.62_{-0.42}^{+0.40} \times 10^{-1}$
4	A1413	$\rm 1.34_{-0.06}^{+0.07}$	$\rm 5.08_{-0.41}^{+0.54} \times 10^{14}$	$\rm 1.29_{-0.07}^{+0.07} \times 10^{14}$	$\rm 2.53_{-0.35}^{+0.35} \times 10^{-1}$	$\rm 2.21_{-0.09}^{+0.12}$	$\rm 8.44_{-0.68}^{+0.90} \times 10^{14}$	$\rm 2.73_{-0.24}^{+0.22} \times 10^{14}$	$\rm 3.23_{-0.56}^{+0.55} \times 10^{-1}$
5	A990	$\rm 1.42_{-0.20}^{+0.26}$	$\rm 6.08_{-1.54}^{+2.28} \times 10^{14}$	$\rm 1.10_{-0.21}^{+0.19} \times 10^{14}$	$\rm 1.81_{-0.75}^{+1.04} \times 10^{-1}$	$\rm 2.37_{-0.34}^{+0.44}$	$\rm 1.04_{-0.27}^{+0.41} \times 10^{15}$	$\rm 1.90_{-0.64}^{+0.75} \times 10^{14}$	$\rm 1.84_{-0.96}^{+1.63} \times 10^{-1}$
6	A2204	$\rm 1.29_{-0.03}^{+0.04}$	$\rm 4.57_{-0.23}^{+0.26} \times 10^{14}$	$\rm 1.49_{-0.04}^{+0.04} \times 10^{14}$	$\rm 3.26_{-0.26}^{+0.27} \times 10^{-1}$	$\rm 2.12_{-0.06}^{+0.06}$	$\rm 7.53_{-0.39}^{+0.42} \times 10^{14}$	$\rm 3.15_{-0.12}^{+0.12} \times 10^{14}$	$\rm 4.18_{-0.38}^{+0.39} \times 10^{-1}$
7	A2104	$\rm 1.42_{-0.10}^{+0.10}$	$\rm 6.17_{-0.82}^{+0.92} \times 10^{14}$	$\rm 1.27_{-0.09}^{+0.12} \times 10^{14}$	$\rm 2.06_{-0.38}^{+0.52} \times 10^{-1}$	$\rm 2.35_{-0.16}^{+0.17}$	$\rm 1.03_{-0.14}^{+0.16} \times 10^{15}$	$\rm 2.66_{-0.31}^{+0.41} \times 10^{14}$	$\rm 2.58_{-0.59}^{+0.84} \times 10^{-1}$
8	RX J1050.5-0236	$\rm0.83_{-0.03}^{+0.04}$	$\rm 1.24_{-0.09}^{+0.11} \times 10^{14}$	$\rm 2.88_{-0.20}^{+0.17} \times 10^{13}$	$\rm 2.34_{-0.35}^{+0.33} \times 10^{-1}$	$\rm 1.36_{-0.05}^{+0.06}$	$\rm 2.03_{-0.15}^{+0.19} \times 10^{14}$	$\rm 5.88_{-0.57}^{+0.46} \times 10^{13}$	$\rm 2.90_{-0.51}^{+0.47} \times 10^{-1}$
9	A586	$\rm 1.51_{-0.16}^{+0.18}$	$\rm 7.55_{-1.55}^{+1.92} \times 10^{14}$	$\rm 8.78_{-1.02}^{+1.44} \times 10^{13}$	$\rm 1.16_{-0.33}^{+0.52} \times 10^{-1}$	$\rm 2.48_{-0.27}^{+0.30}$	$\rm 1.25_{-0.26}^{+0.32} \times 10^{15}$	$\rm 1.48_{-0.26}^{+0.39} \times 10^{14}$	$\rm 1.19_{-0.40}^{+0.68} \times 10^{-1}$
10	A2218	$\rm 1.45_{-0.09}^{+0.10}$	$\rm 6.67_{-0.83}^{+0.97} \times 10^{14}$	$\rm 1.11_{-0.07}^{+0.09} \times 10^{14}$	$\rm 1.67_{-0.29}^{+0.38} \times 10^{-1}$	$\rm 2.38_{-0.16}^{+0.17}$	$\rm 1.10_{-0.14}^{+0.16} \times 10^{15}$	$\rm 2.19_{-0.22}^{+0.29} \times 10^{14}$	$\rm 1.99_{-0.41}^{+0.56} \times 10^{-1}$
11	MS0906.5+1110	$\rm 1.10_{-0.06}^{+0.06}$	$\rm 2.97_{-0.31}^{+0.34} \times 10^{14}$	$\rm 7.17_{-0.35}^{+0.27} \times 10^{13}$	$\rm 2.41_{-0.34}^{+0.37} \times 10^{-1}$	$\rm 1.81_{-0.10}^{+0.10}$	$\rm 4.88_{-0.51}^{+0.56} \times 10^{14}$	$\rm 1.54_{-0.11}^{+0.10} \times 10^{14}$	$\rm 3.16_{-0.51}^{+0.57} \times 10^{-1}$
12	A665	$\rm 1.38_{-0.05}^{+0.06}$	$\rm 5.83_{-0.44}^{+0.46} \times 10^{14}$	$\rm 1.65_{-0.05}^{+0.06} \times 10^{14}$	$\rm 2.83_{-0.28}^{+0.33} \times 10^{-1}$	$\rm 2.27_{-0.09}^{+0.09}$	$\rm 9.75_{-0.75}^{+0.79} \times 10^{14}$	$\rm 3.31_{-0.17}^{+0.20} \times 10^{14}$	$\rm 3.39_{-0.41}^{+0.50} \times 10^{-1}$
13	A1689	$\rm 1.56_{-0.05}^{+0.05}$	$\rm 8.39_{-0.52}^{+0.60} \times 10^{14}$	$\rm 1.89_{-0.08}^{+0.06} \times 10^{14}$	$\rm 2.25_{-0.23}^{+0.21} \times 10^{-1}$	$\rm 2.54_{-0.08}^{+0.09}$	$\rm 1.37_{-0.09}^{+0.10} \times 10^{15}$	$\rm 3.74_{-0.22}^{+0.18} \times 10^{14}$	$\rm 2.72_{-0.32}^{+0.30} \times 10^{-1}$
14	MS0440.5+0204	$\rm 1.12_{-0.11}^{+0.16}$	$\rm 3.12_{-0.61}^{+0.96} \times 10^{14}$	$\rm 4.23_{-0.72}^{+0.54} \times 10^{13}$	$\rm 1.36_{-0.49}^{+0.53} \times 10^{-1}$	$\rm 1.82_{-0.19}^{+0.26}$	$\rm 5.08_{-0.99}^{+1.56} \times 10^{14}$	$\rm 9.07_{-2.01}^{+1.56} \times 10^{13}$	$\rm 1.78_{-0.71}^{+0.79} \times 10^{-1}$
15	A1246	$\rm 1.12_{-0.08}^{+0.12}$	$\rm 3.18_{-0.43}^{+0.68} \times 10^{14}$	$\rm 9.01_{-0.68}^{+0.67} \times 10^{13}$	$\rm 2.83_{-0.65}^{+0.67} \times 10^{-1}$	$\rm 1.84_{-0.13}^{+0.19}$	$\rm 5.23_{-0.71}^{+1.13} \times 10^{14}$	$\rm 2.02_{-0.27}^{+0.25} \times 10^{14}$	$\rm 3.85_{-1.10}^{+1.14} \times 10^{-1}$
16	MS0839.8+2938	$\rm0.95_{-0.05}^{+0.07}$	$\rm 1.92_{-0.21}^{+0.29} \times 10^{14}$	$\rm 3.61_{-0.49}^{+0.40} \times 10^{13}$	$\rm 1.88_{-0.47}^{+0.45} \times 10^{-1}$	$\rm 1.55_{-0.08}^{+0.11}$	$\rm 3.14_{-0.33}^{+0.47} \times 10^{14}$	$\rm 6.98_{-1.30}^{+1.05} \times 10^{13}$	$\rm 2.22_{-0.65}^{+0.64} \times 10^{-1}$
17	A115	$\rm 1.04_{-0.04}^{+0.06}$	$\rm 2.57_{-0.17}^{+0.29} \times 10^{14}$	$\rm 8.02_{-0.30}^{+0.23} \times 10^{13}$	$\rm 3.12_{-0.40}^{+0.31} \times 10^{-1}$	$\rm 1.70_{-0.06}^{+0.09}$	$\rm 4.18_{-0.28}^{+0.47} \times 10^{14}$	$\rm 1.93_{-0.10}^{+0.07} \times 10^{14}$	$\rm 4.62_{-0.65}^{+0.50} \times 10^{-1}$
18	MS0451.5+0250	$\rm 1.98_{-0.41}^{+0.19}$	$\rm 1.76_{-0.63}^{+0.33} \times 10^{15}$	$\rm 1.95_{-0.21}^{+0.53} \times 10^{14}$	$\rm 1.11_{-0.26}^{+1.06} \times 10^{-1}$	$\rm 3.29_{-0.70}^{+0.30}$	$\rm 3.05_{-1.14}^{+0.57} \times 10^{15}$	$\rm 2.77_{-0.40}^{+1.66} \times 10^{14}$	$\rm 9.07_{-2.47}^{+13.75} \times 10^{-2}$
19	A2163	$\rm 1.79_{-0.10}^{+0.10}$	$\rm 1.31_{-0.14}^{+0.15} \times 10^{15}$	$\rm 3.45_{-0.16}^{+0.19} \times 10^{14}$	$\rm 2.64_{-0.36}^{+0.46} \times 10^{-1}$	$\rm 2.93_{-0.17}^{+0.17}$	$\rm 2.18_{-0.24}^{+0.26} \times 10^{15}$	$\rm 6.41_{-0.51}^{+0.62} \times 10^{14}$	$\rm 2.94_{-0.50}^{+0.66} \times 10^{-1}$
20	A963	$\rm 1.27_{-0.07}^{+0.08}$	$\rm 4.61_{-0.48}^{+0.60} \times 10^{14}$	$\rm 9.75_{-0.59}^{+0.56} \times 10^{13}$	$\rm 2.12_{-0.33}^{+0.36} \times 10^{-1}$	$\rm 2.05_{-0.11}^{+0.13}$	$\rm 7.49_{-0.78}^{+0.98} \times 10^{14}$	$\rm 2.03_{-0.18}^{+0.16} \times 10^{14}$	$\rm 2.71_{-0.50}^{+0.52} \times 10^{-1}$
21	ZW2701	$\rm0.99_{-0.06}^{+0.07}$	$\rm 2.24_{-0.25}^{+0.33} \times 10^{14}$	$\rm 6.60_{-0.54}^{+0.45} \times 10^{13}$	$\rm 2.94_{-0.59}^{+0.60} \times 10^{-1}$	$\rm 1.61_{-0.09}^{+0.11}$	$\rm 3.63_{-0.41}^{+0.53} \times 10^{14}$	$\rm 1.31_{-0.16}^{+0.13} \times 10^{14}$	$\rm 3.61_{-0.84}^{+0.86} \times 10^{-1}$
22	A1851	$\rm 1.09_{-0.14}^{+0.20}$	$\rm 2.95_{-0.69}^{+1.17} \times 10^{14}$	$\rm 4.99_{-0.60}^{+0.62} \times 10^{13}$	$\rm 1.70_{-0.59}^{+0.77} \times 10^{-1}$	$\rm 1.76_{-0.22}^{+0.34}$	$\rm 4.83_{-1.15}^{+1.99} \times 10^{14}$	$\rm 1.01_{-0.21}^{+0.22} \times 10^{14}$	$\rm 2.10_{-0.90}^{+1.21} \times 10^{-1}$
23	MS0735.6+7421	$\rm0.98_{-0.05}^{+0.07}$	$\rm 2.17_{-0.22}^{+0.31} \times 10^{14}$	$\rm 7.54_{-0.38}^{+0.27} \times 10^{13}$	$\rm 3.47_{-0.58}^{+0.51} \times 10^{-1}$	$\rm 1.59_{-0.08}^{+0.11}$	$\rm 3.51_{-0.36}^{+0.51} \times 10^{14}$	$\rm 1.64_{-0.11}^{+0.07} \times 10^{14}$	$\rm 4.67_{-0.85}^{+0.75} \times 10^{-1}$
24	A773	$\rm 1.55_{-0.14}^{+0.15}$	$\rm 8.62_{-1.52}^{+1.69} \times 10^{14}$	$\rm 1.45_{-0.14}^{+0.16} \times 10^{14}$	$\rm 1.69_{-0.38}^{+0.55} \times 10^{-1}$	$\rm 2.52_{-0.24}^{+0.24}$	$\rm 1.41_{-0.25}^{+0.28} \times 10^{15}$	$\rm 2.57_{-0.37}^{+0.48} \times 10^{14}$	$\rm 1.82_{-0.51}^{+0.78} \times 10^{-1}$
25	A1704	$\rm0.99_{-0.05 }^{+0.06 }$	$\rm 2.23_{-0.21}^{+0.29} \times 10^{14}$	$\rm 6.58_{-0.30}^{+0.20} \times 10^{13}$	$\rm 2.96_{-0.46}^{+0.41} \times 10^{-1}$	$\rm 1.59_{-0.08}^{+0.10}$	$\rm 3.59_{-0.34}^{+0.47} \times 10^{14}$	$\rm 1.39_{-0.09}^{+0.06} \times 10^{14}$	$\rm 3.87_{-0.66}^{+0.58} \times 10^{-1}$
26	MS1006+1202	$\rm 1.41_{-0.19}^{+0.20}$	$\rm 6.54_{-1.59}^{+1.96} \times 10^{14}$	$\rm 8.19_{-0.71}^{+1.10} \times 10^{13}$	$\rm 1.25_{-0.36}^{+0.60} \times 10^{-1}$	$\rm 2.30_{-0.30}^{+0.33}$	$\rm 1.08_{-0.27}^{+0.33} \times 10^{15}$	$\rm 1.42_{-0.22}^{+0.35} \times 10^{14}$	$\rm 1.32_{-0.46}^{+0.83} \times 10^{-1}$
27	A2261	$\rm 1.23_{-0.06}^{+0.07}$	$\rm 4.35_{-0.41}^{+0.51} \times 10^{14}$	$\rm 1.31_{-0.06}^{+0.06} \times 10^{14}$	$\rm 3.00_{-0.41}^{+0.44} \times 10^{-1}$	$\rm 1.99_{-0.10}^{+0.11}$	$\rm 7.04_{-0.66}^{+0.82} \times 10^{14}$	$\rm 2.68_{-0.18}^{+0.16} \times 10^{14}$	$\rm 3.81_{-0.60}^{+0.62} \times 10^{-1}$
28	A1942	$\rm 1.06_{-0.13}^{+0.15}$	$\rm 2.79_{-0.62}^{+0.85} \times 10^{14}$	$\rm 5.29_{-0.40}^{+0.56} \times 10^{13}$	$\rm 1.89_{-0.52}^{+0.77} \times 10^{-1}$	$\rm 1.72_{-0.21}^{+0.25}$	$\rm 4.55_{-1.02}^{+1.40} \times 10^{14}$	$\rm 1.20_{-0.14}^{+0.22} \times 10^{14}$	$\rm 2.64_{-0.84}^{+1.34} \times 10^{-1}$
29	A2219	$\rm 1.53_{-0.09}^{+0.15}$	$\rm 8.26_{-0.96}^{+1.62} \times 10^{14}$	$\rm 2.49_{-0.18}^{+0.15} \times 10^{14}$	$\rm 3.01_{-0.62}^{+0.57} \times 10^{-1}$	$\rm 2.47_{-0.15}^{+0.24}$	$\rm 1.35_{-0.16}^{+0.27} \times 10^{15}$	$\rm 4.93_{-0.60}^{+0.49} \times 10^{14}$	$\rm 3.65_{-0.95}^{+0.86} \times 10^{-1}$
30	A1895	$\rm 1.38_{-0.24}^{+0.87}$	$\rm 6.11_{-1.73}^{+5.82} \times 10^{14}$	$\rm 1.27_{-0.21}^{+0.12} \times 10^{14}$	$\rm 2.08_{-1.18}^{+1.07} \times 10^{-1}$	$\rm 2.37_{-0.43}^{+1.56}$	$\rm 1.20_{-0.38}^{+1.67} \times 10^{15}$	$\rm 2.18_{-0.85}^{+0.56} \times 10^{14}$	$\rm 1.82_{-1.35}^{+1.50} \times 10^{-1}$
31	A2390	$\rm 1.39_{-0.09}^{+0.12}$	$\rm 6.21_{-0.82}^{+1.14} \times 10^{14}$	$\rm 2.10_{-0.08}^{+0.08} \times 10^{14}$	$\rm 3.38_{-0.58}^{+0.58} \times 10^{-1}$	$\rm 2.23_{-0.15}^{+0.20}$	$\rm 1.00_{-0.13}^{+0.18} \times 10^{15}$	$\rm 4.57_{-0.24}^{+0.21} \times 10^{14}$	$\rm 4.56_{-0.85}^{+0.84} \times 10^{-1}$
32	A1763	$\rm 1.33_{-0.09}^{+0.12}$	$\rm 5.51_{-0.73}^{+1.03} \times 10^{14}$	$\rm 1.68_{-0.11}^{+0.09} \times 10^{14}$	$\rm 3.06_{-0.62}^{+0.62} \times 10^{-1}$	$\rm 2.16_{-0.15}^{+0.20}$	$\rm 9.00_{-1.21}^{+1.72} \times 10^{14}$	$\rm 3.66_{-0.41}^{+0.33} \times 10^{14}$	$\rm 4.07_{-1.01}^{+1.01} \times 10^{-1}$
33	A2111	$\rm 1.24_{-0.09}^{+0.12}$	$\rm 4.41_{-0.62}^{+0.87} \times 10^{14}$	$\rm 1.14_{-0.05}^{+0.06} \times 10^{14}$	$\rm 2.59_{-0.51}^{+0.55} \times 10^{-1}$	$\rm 2.00_{-0.15}^{+0.19}$	$\rm 7.20_{-1.02}^{+1.45} \times 10^{14}$	$\rm 2.47_{-0.22}^{+0.20} \times 10^{14}$	$\rm 3.43_{-0.81}^{+0.86} \times 10^{-1}$
34	A267	$\rm 1.24_{-0.12}^{+0.16}$	$\rm 4.47_{-0.81}^{+1.17} \times 10^{14}$	$\rm 1.03_{-0.13}^{+0.14} \times 10^{14}$	$\rm 2.31_{-0.68}^{+0.85} \times 10^{-1}$	$\rm 2.01_{-0.19}^{+0.25}$	$\rm 7.28_{-1.33}^{+1.95} \times 10^{14}$	$\rm 1.88_{-0.38}^{+0.41} \times 10^{14}$	$\rm 2.58_{-0.95}^{+1.27} \times 10^{-1}$
35	A2667	$\rm 1.19_{-0.04}^{+0.05}$	$\rm 3.89_{-0.23}^{+0.34} \times 10^{14}$	$\rm 1.36_{-0.03}^{+0.04} \times 10^{14}$	$\rm 3.50_{-0.35}^{+0.31} \times 10^{-1}$	$\rm 1.91_{-0.06}^{+0.08}$	$\rm 6.27_{-0.38}^{+0.54} \times 10^{14}$	$\rm 2.73_{-0.09}^{+0.11} \times 10^{14}$	$\rm 4.35_{-0.47}^{+0.45} \times 10^{-1}$
36	A1682	$\rm 1.43_{-0.25}^{+0.34}$	$\rm 6.84_{-2.15}^{+3.17} \times 10^{14}$	$\rm 1.35_{-0.18}^{+0.16} \times 10^{14}$	$\rm 1.97_{-0.79}^{+1.17} \times 10^{-1}$	$\rm 2.35_{-0.43}^{+0.57}$	$\rm 1.17_{-0.39}^{+0.61} \times 10^{15}$	$\rm 2.41_{-0.66}^{+0.72} \times 10^{14}$	$\rm 2.05_{-1.06}^{+1.91} \times 10^{-1}$
37	RX J2129.3+0005	$\rm 1.14_{-0.04}^{+0.06}$	$\rm 3.51_{-0.26}^{+0.37} \times 10^{14}$	$\rm 1.07_{-0.06}^{+0.04} \times 10^{14}$	$\rm 3.04_{-0.43}^{+0.35} \times 10^{-1}$	$\rm 1.84_{-0.07}^{+0.09}$	$\rm 5.64_{-0.42}^{+0.60} \times 10^{14}$	$\rm 2.17_{-0.16}^{+0.12} \times 10^{14}$	$\rm 3.85_{-0.62}^{+0.51} \times 10^{-1}$
38	MS1910+6736	$\rm0.91_{-0.09}^{+0.12}$	$\rm 1.81_{-0.35}^{+0.51} \times 10^{14}$	$\rm 4.99_{-0.46}^{+0.39} \times 10^{13}$	$\rm 2.76_{-0.76}^{+0.90} \times 10^{-1}$	$\rm 1.46_{-0.15}^{+0.20}$	$\rm 2.91_{-0.56}^{+0.83} \times 10^{14}$	$\rm 1.07_{-0.15}^{+0.14} \times 10^{14}$	$\rm 3.68_{-1.20}^{+1.44} \times 10^{-1}$
39	A1835	$\rm 1.35_{-0.06}^{+0.10}$	$\rm 5.85_{-0.53}^{+0.93} \times 10^{14}$	$\rm 1.75_{-0.19}^{+0.16} \times 10^{14}$	$\rm 2.98_{-0.68}^{+0.58} \times 10^{-1}$	$\rm 2.15_{-0.10}^{+0.17}$	$\rm 9.37_{-0.85}^{+1.49} \times 10^{14}$	$\rm 3.31_{-0.51}^{+0.40} \times 10^{14}$	$\rm 3.53_{-0.94}^{+0.79} \times 10^{-1}$
40	RX J1023.8-2715	$\rm 1.14_{-0.05}^{+0.05}$	$\rm 3.58_{-0.31}^{+0.33} \times 10^{14}$	$\rm 1.23_{-0.03}^{+0.05} \times 10^{14}$	$\rm 3.43_{-0.35}^{+0.46} \times 10^{-1}$	$\rm 1.83_{-0.08}^{+0.08}$	$\rm 5.74_{-0.49}^{+0.53} \times 10^{14}$	$\rm 2.45_{-0.08}^{+0.14} \times 10^{14}$	$\rm 4.28_{-0.47}^{+0.66} \times 10^{-1}$
41	A68	$\rm 1.36_{-0.17}^{+0.23}$	$\rm 6.00_{-1.43}^{+2.12} \times 10^{14}$	$\rm 1.23_{-0.18}^{+0.19} \times 10^{14}$	$\rm 2.05_{-0.71}^{+1.02} \times 10^{-1}$	$\rm 2.18_{-0.28}^{+0.37}$	$\rm 9.74_{-2.36}^{+3.58} \times 10^{14}$	$\rm 2.27_{-0.56}^{+0.65} \times 10^{14}$	$\rm 2.34_{-1.02}^{+1.61} \times 10^{-1}$
42	MS1455.0+2232	$\rm 1.07_{-0.05}^{+0.06}$	$\rm 2.92_{-0.24}^{+0.33} \times 10^{14}$	$\rm 7.43_{-0.64}^{+0.51} \times 10^{13}$	$\rm 2.55_{-0.45}^{+0.42} \times 10^{-1}$	$\rm 1.70_{-0.07}^{+0.09}$	$\rm 4.67_{-0.39}^{+0.52} \times 10^{14}$	$\rm 1.35_{-0.16}^{+0.13} \times 10^{14}$	$\rm 2.89_{-0.60}^{+0.56} \times 10^{-1}$
43	A1758	$\rm 2.75_{-0.91}^{+0.21}$	$\rm 5.13_{-2.65}^{+0.68} \times 10^{15}$	$\rm 1.49_{-0.10}^{+0.65} \times 10^{14}$	$\rm 2.91_{-0.48}^{+5.69} \times 10^{-2}$	$\rm 4.59_{-1.54}^{+0.30}$	$\rm 9.46_{-5.15}^{+1.21} \times 10^{15}$	$\rm 1.50_{-0.10}^{+0.90} \times 10^{14}$	$\rm 1.58_{-0.26}^{+3.93} \times 10^{-2}$
44	A483	$\rm 1.47_{-0.38}^{+1.93}$	$\rm 7.84_{-3.37}^{+21.74} \times 10^{14}$	$\rm 7.41_{-3.75}^{+3.39} \times 10^{13}$	$\rm 9.45_{-8.21}^{+14.69} \times 10^{-2}$	$\rm 2.40_{-0.63}^{+3.16}$	$\rm 1.36_{-0.60}^{+4.88} \times 10^{15}$	$\rm 9.84_{-6.17}^{+9.38} \times 10^{13}$	$\rm 7.23_{-6.65}^{+18.20} \times 10^{-2}$
45	A697	$\rm 1.42_{-0.10}^{+0.10}$	$\rm 7.08_{-0.96}^{+1.04} \times 10^{14}$	$\rm 2.19_{-0.14}^{+0.12} \times 10^{14}$	$\rm 3.09_{-0.55}^{+0.66} \times 10^{-1}$	$\rm 2.27_{-0.16}^{+0.16}$	$\rm 1.14_{-0.16}^{+0.17} \times 10^{15}$	$\rm 4.16_{-0.41}^{+0.42} \times 10^{14}$	$\rm 3.65_{-0.77}^{+0.98} \times 10^{-1}$
46	1E0657-56	$\rm 2.23_{-0.18}^{+0.27}$	$\rm 2.78_{-0.41}^{+0.68} \times 10^{15}$	$\rm 3.53_{-0.29}^{+0.34} \times 10^{14}$	$\rm 1.27_{-0.32}^{+0.34} \times 10^{-1}$	$\rm 3.58_{-0.29}^{+0.44}$	$\rm 4.59_{-0.70}^{+1.16} \times 10^{15}$	$\rm 4.68_{-0.68}^{+0.76} \times 10^{14}$	$\rm 1.02_{-0.31}^{+0.36} \times 10^{-1}$
47	MS1008.1-1224	$\rm 1.41_{-0.20}^{+0.29}$	$\rm 7.01_{-1.84}^{+3.17} \times 10^{14}$	$\rm 9.48_{-1.19}^{+1.22} \times 10^{13}$	$\rm 1.35_{-0.51}^{+0.65} \times 10^{-1}$	$\rm 2.23_{-0.32}^{+0.46}$	$\rm 1.12_{-0.29}^{+0.51} \times 10^{15}$	$\rm 1.71_{-0.32}^{+0.32} \times 10^{14}$	$\rm 1.53_{-0.65}^{+0.85} \times 10^{-1}$
48	MS1147.3+1103	$\rm0.98_{-0.15}^{+0.17}$	$\rm 2.38_{-0.67}^{+0.91} \times 10^{14}$	$\rm 5.20_{-0.51}^{+0.47} \times 10^{13}$	$\rm 2.18_{-0.75}^{+1.06} \times 10^{-1}$	$\rm 1.55_{-0.24}^{+0.27}$	$\rm 3.78_{-1.07}^{+1.45} \times 10^{14}$	$\rm 1.14_{-0.16}^{+0.16} \times 10^{14}$	$\rm 3.02_{-1.13}^{+1.76} \times 10^{-1}$
49	RX J1131.9-1955	$\rm 1.29_{-0.11}^{+0.15}$	$\rm 5.39_{-0.87}^{+1.28} \times 10^{14}$	$\rm 1.63_{-0.16}^{+0.13} \times 10^{14}$	$\rm 3.03_{-0.79}^{+0.80} \times 10^{-1}$	$\rm 2.03_{-0.17}^{+0.23}$	$\rm 8.58_{-1.39}^{+2.08} \times 10^{14}$	$\rm 3.43_{-0.54}^{+0.42} \times 10^{14}$	$\rm 4.00_{-1.27}^{+1.33} \times 10^{-1}$
50	AC118	$\rm 1.80_{-0.20}^{+0.40}$	$\rm 1.47_{-0.29}^{+0.60} \times 10^{15}$	$\rm 3.06_{-0.22}^{+0.30} \times 10^{14}$	$\rm 2.08_{-0.69}^{+0.72} \times 10^{-1}$	$\rm 2.92_{-0.34}^{+0.69}$	$\rm 2.56_{-0.55}^{+1.25} \times 10^{15}$	$\rm 4.75_{-0.93}^{+0.94} \times 10^{14}$	$\rm 1.86_{-0.85}^{+0.95} \times 10^{-1}$
51	MS0811.6+6301	$\rm0.89_{-0.13}^{+0.19}$	$\rm 1.82_{-0.49}^{+0.83} \times 10^{14}$	$\rm 3.45_{-0.47}^{+0.47} \times 10^{13}$	$\rm 1.90_{-0.75}^{+1.01} \times 10^{-1}$	$\rm 1.41_{-0.21}^{+0.29}$	$\rm 2.88_{-0.78}^{+1.32} \times 10^{14}$	$\rm 6.92_{-1.31}^{+1.28} \times 10^{13}$	$\rm 2.41_{-1.05}^{+1.45} \times 10^{-1}$
52	MS1241.5+1710	$\rm 1.26_{-0.27}^{+0.42}$	$\rm 5.05_{-1.96}^{+3.96} \times 10^{14}$	$\rm 4.20_{-2.33}^{+1.68} \times 10^{13}$	$\rm 8.31_{-6.22}^{+10.50} \times 10^{-2}$	$\rm 1.98_{-0.43}^{+0.66}$	$\rm 7.96_{-3.08}^{+6.24} \times 10^{14}$	$\rm 7.78_{-4.98}^{+4.21} \times 10^{13}$	$\rm 9.77_{-7.79}^{+14.59} \times 10^{-2}$
53	AC114	$\rm 1.26_{-0.11}^{+0.15}$	$\rm 5.16_{-0.88}^{+1.30} \times 10^{14}$	$\rm 1.49_{-0.08}^{+0.09} \times 10^{14}$	$\rm 2.89_{-0.67}^{+0.78} \times 10^{-1}$	$\rm 2.00_{-0.18}^{+0.25}$	$\rm 8.27_{-1.43}^{+2.15} \times 10^{14}$	$\rm 3.11_{-0.33}^{+0.34} \times 10^{14}$	$\rm 3.76_{-1.07}^{+1.24} \times 10^{-1}$
54	MS2137.3-2353	$\rm 1.07_{-0.06}^{+0.10}$	$\rm 3.16_{-0.36}^{+0.60} \times 10^{14}$	$\rm 6.80_{-0.84}^{+0.67} \times 10^{13}$	$\rm 2.15_{-0.56}^{+0.50} \times 10^{-1}$	$\rm 1.69_{-0.10}^{+0.15}$	$\rm 4.99_{-0.57}^{+0.95} \times 10^{14}$	$\rm 1.19_{-0.20}^{+0.15} \times 10^{14}$	$\rm 2.39_{-0.71}^{+0.64} \times 10^{-1}$
55	A1995	$\rm 1.65_{-0.21}^{+0.36}$	$\rm 1.15_{-0.27}^{+0.55} \times 10^{15}$	$\rm 1.37_{-0.24}^{+0.19} \times 10^{14}$	$\rm 1.19_{-0.51}^{+0.55} \times 10^{-1}$	$\rm 2.60_{-0.33}^{+0.58}$	$\rm 1.84_{-0.43}^{+0.90} \times 10^{15}$	$\rm 2.16_{-0.60}^{+0.49} \times 10^{14}$	$\rm 1.18_{-0.60}^{+0.68} \times 10^{-1}$
56	CL0500-24	$\rm 1.07_{-0.22}^{+0.43}$	$\rm 3.20_{-1.15}^{+3.06} \times 10^{14}$	$\rm 4.31_{-0.86}^{+1.01} \times 10^{13}$	$\rm 1.35_{-0.74}^{+1.13} \times 10^{-1}$	$\rm 1.69_{-0.34}^{+0.68}$	$\rm 5.04_{-1.81}^{+4.87} \times 10^{14}$	$\rm 9.86_{-2.65}^{+3.32} \times 10^{13}$	$\rm 1.96_{-1.20}^{+1.95} \times 10^{-1}$
57	A402	$\rm 1.21_{-0.12}^{+0.16}$	$\rm 4.60_{-0.86}^{+1.28} \times 10^{14}$	$\rm 9.92_{-1.15}^{+1.04} \times 10^{13}$	$\rm 2.16_{-0.65}^{+0.75} \times 10^{-1}$	$\rm 1.91_{-0.19}^{+0.25}$	$\rm 7.25_{-1.36}^{+2.02} \times 10^{14}$	$\rm 1.90_{-0.32}^{+0.28} \times 10^{14}$	$\rm 2.61_{-0.90}^{+1.04} \times 10^{-1}$
58	MS1224.7+2007	$\rm0.93_{-0.14}^{+0.15}$	$\rm 2.10_{-0.57}^{+0.72} \times 10^{14}$	$\rm 2.85_{-0.37}^{+0.46} \times 10^{13}$	$\rm 1.36_{-0.45}^{+0.77} \times 10^{-1}$	$\rm 1.46_{-0.22}^{+0.23}$	$\rm 3.29_{-0.90}^{+1.14} \times 10^{14}$	$\rm 6.01_{-1.00}^{+1.26} \times 10^{13}$	$\rm 1.82_{-0.66}^{+1.16} \times 10^{-1}$
59	A1722	$\rm 1.09_{-0.08}^{+0.12}$	$\rm 3.41_{-0.45}^{+0.78} \times 10^{14}$	$\rm 6.33_{-0.59}^{+0.63} \times 10^{13}$	$\rm 1.86_{-0.47}^{+0.47} \times 10^{-1}$	$\rm 1.72_{-0.12}^{+0.19}$	$\rm 5.38_{-0.72}^{+1.25} \times 10^{14}$	$\rm 1.26_{-0.19}^{+0.19} \times 10^{14}$	$\rm 2.35_{-0.71}^{+0.73} \times 10^{-1}$
60	CL1358+6245	$\rm 1.01_{-0.07}^{+0.08}$	$\rm 2.72_{-0.36}^{+0.44} \times 10^{14}$	$\rm 8.03_{-0.49}^{+0.55} \times 10^{13}$	$\rm 2.95_{-0.54}^{+0.65} \times 10^{-1}$	$\rm 1.59_{-0.11}^{+0.12}$	$\rm 4.27_{-0.57}^{+0.69} \times 10^{14}$	$\rm 1.67_{-0.13}^{+0.15} \times 10^{14}$	$\rm 3.92_{-0.79}^{+0.98} \times 10^{-1}$
61	CL2244-02	$\rm0.83_{-0.20}^{+0.26}$	$\rm 1.50_{-0.63}^{+1.07} \times 10^{14}$	$\rm 3.27_{-0.47}^{+0.43} \times 10^{13}$	$\rm 2.18_{-0.95}^{+1.29} \times 10^{-1}$	$\rm 1.31_{-0.31}^{+0.42}$	$\rm 2.37_{-0.99}^{+1.73} \times 10^{14}$	$\rm 8.91_{-1.37}^{+1.19} \times 10^{13}$	$\rm 3.76_{-1.87}^{+2.69} \times 10^{-1}$
62	RX J1532.9+3021	$\rm 1.08_{-0.05}^{+0.05}$	$\rm 3.32_{-0.29}^{+0.32} \times 10^{14}$	$\rm 1.09_{-0.06}^{+0.06} \times 10^{14}$	$\rm 3.29_{-0.46}^{+0.51} \times 10^{-1}$	$\rm 1.68_{-0.08}^{+0.08}$	$\rm 5.19_{-0.46}^{+0.50} \times 10^{14}$	$\rm 1.91_{-0.15}^{+0.14} \times 10^{14}$	$\rm 3.69_{-0.59}^{+0.65} \times 10^{-1}$
63	A959	$\rm 1.06_{-0.16}^{+0.22}$	$\rm 3.19_{-0.83}^{+1.08} \times 10^{14}$	$\rm 1.07_{-0.04}^{+0.05} \times 10^{14}$	$\rm 3.37_{-0.85}^{+1.15} \times 10^{-1}$	$\rm 1.73_{-0.28}^{+0.38}$	$\rm 5.75_{-1.66}^{+2.50} \times 10^{14}$	$\rm 2.35_{-0.17}^{+0.20} \times 10^{14}$	$\rm 4.10_{-1.41}^{+2.04} \times 10^{-1}$
64	MS1512.4+3647	$\rm0.77_{-0.09}^{+0.16}$	$\rm 1.24_{-0.29}^{+0.59} \times 10^{14}$	$\rm 3.07_{-0.43}^{+0.60} \times 10^{13}$	$\rm 2.47_{-0.94}^{+1.14} \times 10^{-1}$	$\rm 1.19_{-0.15}^{+0.26}$	$\rm 1.93_{-0.45}^{+0.92} \times 10^{14}$	$\rm 5.76_{-1.14}^{+1.44} \times 10^{13}$	$\rm 2.98_{-1.26}^{+1.57} \times 10^{-1}$
65	A370	$\rm 1.15_{-0.20}^{+0.28}$	$\rm 4.19_{-1.30}^{+2.06} \times 10^{14}$	$\rm 9.97_{-1.17}^{+0.66} \times 10^{13}$	$\rm 2.38_{-0.92}^{+1.15} \times 10^{-1}$	$\rm 1.81_{-0.32}^{+0.44}$	$\rm 6.73_{-2.16}^{+3.57} \times 10^{14}$	$\rm 2.01_{-0.44}^{+0.32} \times 10^{14}$	$\rm 2.99_{-1.39}^{+2.02} \times 10^{-1}$
66	CL0024+17	$\rm0.94_{-0.21}^{+0.39}$	$\rm 2.31_{-0.91}^{+2.34} \times 10^{14}$	$\rm 4.64_{-0.35}^{+0.43} \times 10^{13}$	$\rm 2.00_{-1.05}^{+1.48} \times 10^{-1}$	$\rm 1.45_{-0.32}^{+0.61}$	$\rm 3.59_{-1.41}^{+3.63} \times 10^{14}$	$\rm 1.01_{-0.10}^{+0.13} \times 10^{14}$	$\rm 2.81_{-1.52}^{+2.27} \times 10^{-1}$
67	A851	$\rm 1.08_{-0.18}^{+0.41}$	$\rm 3.63_{-1.05}^{+2.60} \times 10^{14}$	$\rm 1.05_{-0.08}^{+0.06} \times 10^{14}$	$\rm 2.89_{-1.26}^{+1.28} \times 10^{-1}$	$\rm 1.72_{-0.29}^{+0.67}$	$\rm 6.07_{-1.83}^{+5.15} \times 10^{14}$	$\rm 2.40_{-0.40}^{+0.22} \times 10^{14}$	$\rm 3.96_{-2.09}^{+2.18} \times 10^{-1}$
68	MS0302.7+1658	$\rm0.99_{-0.18}^{+0.36}$	$\rm 2.79_{-0.94}^{+2.43} \times 10^{14}$	$\rm 5.60_{-1.66}^{+1.09} \times 10^{13}$	$\rm 2.01_{-1.25}^{+1.61} \times 10^{-1}$	$\rm 1.51_{-0.28}^{+0.56}$	$\rm 4.28_{-1.45}^{+3.74} \times 10^{14}$	$\rm 1.11_{-0.42}^{+0.28} \times 10^{14}$	$\rm 2.58_{-1.73}^{+2.29} \times 10^{-1}$
69	MS1621.5+2640	$\rm0.95_{-0.13}^{+0.20}$	$\rm 2.46_{-0.61}^{+1.09} \times 10^{14}$	$\rm 6.67_{-0.42}^{+0.44} \times 10^{13}$	$\rm 2.72_{-0.91}^{+1.00} \times 10^{-1}$	$\rm 1.46_{-0.20}^{+0.31}$	$\rm 3.84_{-0.96}^{+1.76} \times 10^{14}$	$\rm 1.43_{-0.16}^{+0.14} \times 10^{14}$	$\rm 3.73_{-1.43}^{+1.63} \times 10^{-1}$
70	RX J1347.5-1145	$\rm 1.50_{-0.07}^{+0.07}$	$\rm 1.01_{-0.09}^{+0.10} \times 10^{15}$	$\rm 2.70_{-0.12}^{+0.13} \times 10^{14}$	$\rm 2.66_{-0.33}^{+0.38} \times 10^{-1}$	$\rm 2.29_{-0.10}^{+0.11}$	$\rm 1.55_{-0.14}^{+0.15} \times 10^{15}$	$\rm 4.60_{-0.28}^{+0.29} \times 10^{14}$	$\rm 2.97_{-0.42}^{+0.47} \times 10^{-1}$
71	3C 295	$\rm 1.22_{-0.18}^{+0.20}$	$\rm 5.59_{-1.55}^{+1.94} \times 10^{14}$	$\rm 5.34_{-1.16}^{+1.67} \times 10^{13}$	$\rm 9.56_{-3.94}^{+7.57} \times 10^{-2}$	$\rm 1.87_{-0.28}^{+0.30}$	$\rm 8.53_{-2.36}^{+2.97} \times 10^{14}$	$\rm 8.16_{-2.29}^{+3.37} \times 10^{13}$	$\rm 9.56_{-4.40}^{+8.90} \times 10^{-2}$
72	CL0016+16	$\rm 1.22_{-0.11}^{+0.15}$	$\rm 6.06_{-0.98}^{+1.52} \times 10^{14}$	$\rm 1.92_{-0.09}^{+0.11} \times 10^{14}$	$\rm 3.17_{-0.71}^{+0.82} \times 10^{-1}$	$\rm 1.85_{-0.16}^{+0.23}$	$\rm 9.35_{-1.54}^{+2.45} \times 10^{14}$	$\rm 3.38_{-0.29}^{+0.32} \times 10^{14}$	$\rm 3.62_{-0.98}^{+1.11} \times 10^{-1}$
73	MS0451.6-0305	$\rm 1.38_{-0.20}^{+0.25}$	$\rm 8.90_{-2.31}^{+3.44} \times 10^{14}$	$\rm 1.67_{-0.14}^{+0.18} \times 10^{14}$	$\rm 1.87_{-0.61}^{+0.81} \times 10^{-1}$	$\rm 2.09_{-0.30}^{+0.38}$	$\rm 1.36_{-0.36}^{+0.54} \times 10^{15}$	$\rm 2.76_{-0.41}^{+0.46} \times 10^{14}$	$\rm 2.03_{-0.76}^{+1.08} \times 10^{-1}$
74	CL2236-04	$\rm0.80_{-0.17}^{+0.36}$	$\rm 1.76_{-0.65}^{+1.88} \times 10^{14}$	$\rm 4.89_{-1.47}^{+1.14} \times 10^{13}$	$\rm 2.78_{-1.84}^{+2.61} \times 10^{-1}$	$\rm 1.20_{-0.25}^{+0.53}$	$\rm 2.65_{-0.99}^{+2.86} \times 10^{14}$	$\rm 8.26_{-3.34}^{+2.66} \times 10^{13}$	$\rm 3.12_{-2.23}^{+3.45} \times 10^{-1}$
75	MS2053.7-0449	$\rm 2.32_{-1.13}^{+5.31}$	$\rm 4.35_{-3.21}^{+41.30} \times 10^{15}$	$\rm 2.46_{-2.02}^{+8.60} \times 10^{13}$	$\rm 5.65_{-5.54}^{+79.02} \times 10^{-3}$	$\rm 3.46_{-1.69}^{+7.94}$	$\rm 6.53_{-4.82}^{+63.15} \times 10^{15}$	$\rm 2.88_{-2.44}^{+16.64} \times 10^{13}$	$\rm 4.41_{-4.34}^{+95.43} \times 10^{-3}$
76	3C 220.1	$\rm 1.17_{-0.25}^{+0.45}$	$\rm 5.80_{-2.19}^{+5.25} \times 10^{14}$	$\rm 1.79_{-1.09}^{+1.56} \times 10^{13}$	$\rm 3.08_{-2.45}^{+6.09} \times 10^{-2}$	$\rm 1.74_{-0.37}^{+0.67}$	$\rm 8.64_{-3.27}^{+7.85} \times 10^{14}$	$\rm 2.30_{-1.58}^{+2.84} \times 10^{13}$	$\rm 2.66_{-2.22}^{+6.80} \times 10^{-2}$
77	MS1137.5+6625	$\rm 1.41_{-0.45}^{+1.26}$	$\rm 1.25_{-0.67}^{+3.20} \times 10^{15}$	$\rm 1.15_{-0.40}^{+0.40} \times 10^{14}$	$\rm 9.24_{-7.30}^{+14.02} \times 10^{-2}$	$\rm 2.06_{-0.66}^{+1.84}$	$\rm 1.82_{-0.98}^{+4.69} \times 10^{15}$	$\rm 1.90_{-0.85}^{+0.87} \times 10^{14}$	$\rm 1.04_{-0.86}^{+1.80} \times 10^{-1}$
78	RX J1716.6+6708	$\rm 1.23_{-0.46}^{+1.23}$	$\rm 8.50_{-5.20}^{+24.30} \times 10^{14}$	$\rm 1.12_{-0.37}^{+0.37} \times 10^{14}$	$\rm 1.32_{-1.08}^{+3.07} \times 10^{-1}$	$\rm 1.79_{-0.68}^{+1.79}$	$\rm 1.25_{-0.77}^{+3.67} \times 10^{15}$	$\rm 1.78_{-0.85}^{+1.01} \times 10^{14}$	$\rm 1.42_{-1.23}^{+4.19} \times 10^{-1}$
79	MS1054.5-0321	$\rm 3.42_{-1.15}^{+0.65}$	$\rm 1.87_{-1.01}^{+0.73} \times 10^{16}$	$\rm 1.31_{-0.17}^{+0.43} \times 10^{14}$	$\rm 7.00_{-2.39}^{+12.18} \times 10^{-3}$	$\rm 5.07_{-1.70}^{+0.93}$	$\rm 2.89_{-1.58}^{+1.11} \times 10^{16}$	$\rm 1.31_{-0.17}^{+0.46} \times 10^{14}$	$\rm 4.54_{-1.54}^{+8.38} \times 10^{-3}$

  
Appendix A: Mass profile of double- $\protect{\beta}$ clusters

Suppose that the density distribution of intracluster gas is characterized by superposition of the two $\beta$-model gas profiles.

$$\rho_{\rm gas}(r) = \sum_{i=1}^{2} \rho_{{\rm gas},i}(0) \left[1+\left(\frac{r}{r_i}\right)^2\right]^{-3\beta_i/2}.$$ (A.1)

Then the X-ray surface brightness distribution is given by integrating the X-ray emissivity along the line of sight,

$$\int {\rm d}l \frac{\epsilon_{\rm ff}}{4\pi D_{\rm L}^2} \sim\int {\rm d}l (\sum_{i=1}^{2}{n_i(r)}^2\Lambda(T,Z)) \frac{1}{4\pi D_{\rm L}^2},$$                                S(r) =

$$\sum_{i=1}^{2}S_i\left[1+\left(\frac{r}{r_i}\right)^2\right]^{-3\beta_i+1/2}\cdot$$ = (A.2)

We refer to the second line of the above equation as the double $\beta$-model and utilized in Sect. 3.5. We also obtain the thermal pressure of the gas:

$$P(r) = \sum_{i=1}^{2} n_i(r)kT.$$ (A.3)

Then the total cluster mass is estimated from the hydrostatic equation to be

 

$$-\frac{kTr^2}{\mu m_{\rm p} G}\frac{\partial \ln{n(r)}}{\partial r},$$                                M(r) =

$$\frac{3kT r^3}{\mu m_{\rm p}G}\frac{\sum_{i}\beta_in_{0,i}r_i^{-2} [1+(\frac{r}{r_i})^2]^{-3\beta_i/2-1}}{\sum_{i}n_i(r)}\cdot$$ = (A.4)

The average density profile of the total cluster mass is then

$$\bar{\rho}(r) = \frac{M(r)}{\frac{4}{3}\pi r^3} = \frac{9kT}{... ...2} [1+(\frac{r}{r_i})^2]^{-3\beta_i/2-1}}{\sum_{i}n_i(r)}\cdot$$ (A.5)

We define the central cluster mass density as

$$\rho_0 \equiv \bar{\rho}(r)\vert _{r\rightarrow0} = \frac{9kT... ...}G}\frac{\sum_{i}\beta_in_{0,i}r_i^{-2}}{\sum_{i}n_{0,i}}\cdot$$ (A.6)

  
Appendix B: Systematic error of gas-mass fraction

The gas-mass fraction is determined from the parameters, T, $\beta$, $r_{\rm c}$, and $n_{\rm e0}$, and $n_{\rm e0}$ is further determined from the central surface brightness $S_{\rm p0}$, T, $r_{\rm c}$, and $\beta$. Among those parameters, a possible systematic effect for $r_{\rm c}$ was investigated in Sect. 3.4, and was found to be less than the pixel size of the X-ray image. $\beta$ is strongly coupled to $r_{\rm c}$ and its systematic error is determined by the systematic error of $r_{\rm c}$. On the other hand, $n_{\rm e0}$ requires the absolute calibration of the X-ray telescope/detector effective area, which usually contains large systematic errors. The temperature, T, requires a calibration of the effective area as a function of X-ray energy. Thus we will investigate the systematic errors in $n_{\rm e0}$ and T below.

Systematic errors in the electron density mainly come from the calibration of the ROSAT HRI. Because the gain of the HRI continuously decreased from the launch to the end of the mission, the conversion factor from the photon energy to pulse height is time dependent. Thus the errors in the gain determination cause significant error in the absolute flux. The possible range of the gain variations over the lifetime of ROSAT was measured by Prestwitch et al. (1998). Thus we tried the response matrices for the two extreme gain values in calculating Eq. (3) to estimate the maximum systematic errors. Taking into account that the result also depends on the cluster emission spectrum, the effect is ${\sim} 20$% in the worst case. The calibration of the effective area of the X-ray telescope and the HRI system is also reported by the ROSAT Science Data Center, from which we estimate that the systematic errors in $n_{\rm e0}$ is $\sim$10%.

Systematic errors in the temperature come from the calibration of ASCA. The response functions of the ASCA XRT/GIS and XRT/SIS are well calibrated for point sources. However, for the extended sources, there still are significant systematic errors. In particular we found that the derived temperature is dependent on the spectrum integration region on the detector if the integration radius is too small. In the spectral analysis, we determined the radius so that the dependence becomes insignificant. However, we still consider there is some systematic effect related to this problem and estimate that it will affect $f_{\rm gas}$ by about 5% (notice T affects both M₅₀₀ and $M_{\rm gas}$).

In total, the systematic error due to the instrument calibrations is estimated to be ${\sim} 25$%.

Appendix C: Individual clusters

Figure C.1: ROSAT HRI images, radial surface brightness profiles and the ASCA SIS and GIS spectra of 79 clusters. In the left panels, the HRI images are smoothed by a Gaussian filter with $\sigma =7\hbox {$^{\prime \prime }$ }.5{-}15\hbox {$^{\prime \prime }$ }$ and the contours whose levels correspond to n (=3, 5, 9, 15, 31, 63) times the $1\sigma$ background level are overlaid. The backgrounds are not subtracted. The X-ray centroids that were determined and used to derive the radial profiles in the image analysis are marked with crosses. In the central panels, the crosses denote the observed radial profile of the HRI, and the step functions show the best-fit $\beta$ models. The best-fit background levels are shown with the dashed lines. For the nine double $\beta$ clusters, the results of the double $\beta$ model fitting are shown instead of the single $\beta$ model and the inner and the outer components are also shown with the dash-dot and the dotted lines, respectively. The X-ray significance radius, $r_{\rm x}$, and the overdensity radius, r500 are shown with the vertical dashed, and dotted lines respectively. In the right panels, the ASCA spectra fitted with the Raymond-Smith model are shown, where the crosses and crosses with circles denote the spectra obtained with the GIS and the SIS respectively, and the stepped lines show the best-fit models convolved with the telescope and detector responses. The fitting residuals are also shown in the panels.

Figure C.2: figure C.1

Figure C.3: figure C.1

Figure C.4: figure C.1

Figure C.5: figure C.1

Figure C.6: figure C.1

Figure C.7: figure C.1

Figure C.8: figure C.1

Figure C.9: figure C.1

Figure C.10: figure C.1

Figure C.11: figure C.1

Figure C.12: figure C.1

Figure C.13: figure C.1

Figure C.14: figure C.1

Figure C.15: figure C.1

Figure C.16: figure C.1